Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Experience Level
Senior
About the job
Jobgether is looking for a Senior Cloud Data Engineer based in Brazil. This position centers on creating and enhancing data pipelines and cloud architectures that help drive the company’s data strategy.
Role overview
This role focuses on designing, building, and refining cloud-based data systems. The work supports reliable and accessible data for the organization, ensuring that infrastructure aligns with broader business goals.
Collaboration
Working closely with colleagues from different teams, the Senior Cloud Data Engineer helps maintain and improve data systems. Cross-team collaboration is a key part of supporting the company’s data needs.
Jobgether is looking for a Senior Cloud Data Engineer based in Brazil. This position centers on creating and enhancing data pipelines and cloud architectures that help drive the company’s data strategy. Role overview This role focuses on designing, building, and refining cloud-based data systems. The work supports reliable and accessible data for the organiz…
Join Valtech, a leading experience innovation company, as a Senior Google Cloud Data Engineer. At Valtech, we pride ourselves on being a trusted partner to some of the world’s most renowned brands. We are dedicated to fostering growth opportunities, encouraging a values-driven culture, and providing international career paths that allow you to shape the future of experiences.The OpportunityAt Valtech, you will be immersed in a dynamic environment that values continuous learning and professional development. Your innovative contributions will play a pivotal role in transforming industries by pioneering new digital solutions and enhancing customer experiences.
About the Position: We are on the lookout for a talented Data Engineer with extensive experience in cloud environments (GCP and AWS). The ideal candidate will exhibit proficiency in platforms akin to Databricks and possess a strong technical acumen for structuring and managing Data Lakes. This professional will be responsible for designing, implementing, and maintaining robust and scalable data pipelines, ensuring the ingestion, processing, and accessibility of data across multiple layers (Raw, Refined, Curated).Key Responsibilities:Design and implement the architecture of a multi-layered Data Lake (Raw/Staging, Trusted/Refined, and Curated/Business Layer).Develop, orchestrate, and monitor data pipelines using tools like Apache Spark, PySpark, Airflow, dbt, or their equivalents.Work with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub) and AWS (S3, Glue, Athena, Redshift, EMR) to build scalable and secure solutions.Create efficient batch and streaming data ingestion processes integrating multiple sources.Collaborate with data scientists, analysts, and software engineers to ensure high-quality data availability and governance.Ensure versioning, security, and cataloging of data.
Wabtec Corporation seeks a Senior Cloud Engineer based in Contagem to design and build cloud architectures for mission-critical transportation technology applications. This role centers on creating solutions that keep essential systems secure, reliable, and scalable. Key Responsibilities Design cloud solutions that support core business operations and enhance reliability Implement architectures with an emphasis on scalability, security, and resilience Collaborate with teams to ensure cloud systems meet both performance and compliance requirements Role Overview This position focuses on shaping cloud environments that enable Wabtec’s applications to operate efficiently and securely at scale. The Senior Cloud Engineer will work with others to deliver robust, compliant infrastructure for the company’s technology platforms. About Wabtec Corporation Wabtec Corporation leads in the transportation sector, working to improve efficiency and reliability through advanced cloud computing. The company values innovation and the practical impact of technology in real-world operations.
As a Senior Data Engineer at Remotebase, you will play a pivotal role in designing and implementing resilient, scalable, and automated data pipelines. This position is critical in optimizing our data infrastructure and ensuring efficient data delivery across various departments. You will contribute significantly to the enhancement of our cloud data platform, primarily using Snowflake, and will be responsible for implementing and managing CI/CD processes, Infrastructure as Code (Terraform), and data transformation workflows (dbt).Key Responsibilities:Architect, develop, and maintain scalable CI/CD pipelines for data applications, focusing on Snowflake, dbt, and associated tools.Manage Snowflake dbt projects for data transformation, including the creation of dbt models, tests, and documentation while integrating dbt into CI/CD workflows.Utilize Terraform for Infrastructure as Code to provision and configure cloud resources for data storage, processing, and analytics on GCP.Automate deployment, monitoring, and management of Snowflake data warehouse environments to ensure optimal performance and security.Partner with data engineers and scientists to understand requirements and deliver robust automated solutions for data ingestion, processing, and delivery.Set up and manage monitoring, logging, and alerting systems for data pipelines and infrastructure to maintain high availability and proactive issue resolution.Develop and maintain automation scripts and tools, primarily in Python, to enhance operational efficiency, with Bash scripting for system-level tasks.Implement security best practices across the data infrastructure and pipelines.Diagnose and resolve data infrastructure and pipeline issues promptly.Engage in code reviews for infrastructure code, dbt models, and automation scripts.Document system architectures, configurations, and operational procedures.Stay updated on emerging DevOps technologies, data engineering tools, and cloud best practices, particularly related to Snowflake, dbt, and Terraform.Optimize data pipelines for performance, scalability, and cost-efficiency.Support data governance and quality initiatives from an operational perspective.Contribute to the implementation of AI features.
WHO ARE WE?Launch Potato is a thriving digital media company that engages over 30 million monthly visitors through renowned brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, we aim to connect consumers with top brands using data-driven content and technology.Headquartered in South Florida, we pride ourselves on our remote-first culture with a team spanning over 15 countries. Our high-growth, high-performance work environment emphasizes speed, ownership, and measurable impact to drive success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, moving swiftly, and making a significant impact with a global team of high achievers.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that attracts over 30 million monthly visitors through esteemed brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.Headquartered in South Florida with a remote-first team spread across over 15 countries, we’ve cultivated a high-growth, high-performance culture where speed, ownership, and measurable impact are the hallmarks of success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, driving results, and collaborating with a global team of high achievers.
Join ciandt as a Senior Data Engineer and be a pivotal part of our innovative team where data drives impactful solutions. You will work on complex data systems, developing robust data pipelines that enhance our business intelligence capabilities. Collaborate with cross-functional teams to design and implement scalable data architectures, ensuring data integrity and availability.
Role overview iFood Carreiras seeks a Senior Data Engineer to help shape and advance data-driven solutions. This fully remote position centers on building systems that turn information into insight for teams across the company. What you will do Design, build, and maintain data pipelines to meet business intelligence requirements Collaborate with teams to ensure data remains accurate, accessible, and reliable Support the ongoing development and refinement of data strategy Collaboration and impact This Senior Data Engineer works closely with colleagues from various departments. The role ensures data aligns with business goals and supports decision-making, directly shaping how iFood Carreiras uses information to drive innovation and growth.
Role overview Experian is looking for a Senior Data Engineer in São Carlos. This role focuses on building and maintaining data pipelines that connect multiple sources to analytics platforms. The work supports teams who rely on accurate, timely data to guide decisions. What you will do Design and implement data pipelines for reliable data movement Integrate data from diverse sources into analytics systems Work closely with other data professionals to support analytics and reporting Who you’ll work with Collaborate with a group of experienced engineers and analysts who value data quality and practical solutions.
Join the Analytics Team at TRACTIANAt TRACTIAN, our Data Engineering team plays a crucial role in constructing and sustaining the infrastructure that processes extensive datasets across our systems. We prioritize the availability, scalability, and performance of our data pipelines, facilitating efficient access and processing of both real-time and historical data. Our mission is to design resilient and fault-tolerant data systems that empower analytics and machine learning initiatives, ensuring data integrity and timeliness.Your RoleAs a Senior Data Engineer, your primary responsibility will be to develop data pipelines that support the extraction, loading, and transformation of data across various contexts. You will work to establish a reliable and trustworthy system that underpins our entire analytics framework. The challenges you encounter will range from managing large datasets to optimizing high-throughput systems, employing a diverse set of techniques for effective data management. Additionally, you will spearhead initiatives focused on enhancing the reliability and observability of our data pipelines.
Join our team as a Senior Data Engineer, where you will play a pivotal role in the development, enhancement, and maintenance of data engineering solutions. Your focus will be on ensuring scalability, performance, and reliability of our analytical platforms, with a strong emphasis on generating business value and informed decision-making.Your Daily Responsibilities Will Include:Designing, implementing, and maintaining end-to-end data pipelines (ingestion, transformation, and consumption);Building and evolving data lakes with Bronze, Silver, and Gold layers;Developing data processing solutions using Python and Databricks;Orchestrating workflows by creating and managing DAGs;Utilizing both relational and non-relational databases for analysis and query optimization;Creating and enhancing executive and analytical dashboards to support decision-making;Collaborating with business, analytics, and technology teams while adhering to best practices and quality standards.Qualifications:Proven experience in data engineering and data lake architecture;Proficiency in PostgreSQL and MongoDB, along with SQL optimization skills;Strong background in data visualization tools such as Power BI, Tableau, or QuickSight;Experience in developing pipelines using Python, PySpark, and Databricks;Expertise in data orchestration with Apache Airflow;Hands-on experience with AWS services (S3, Redshift, Athena, ECS, Lambda, APIs);Familiarity with complete ETL/ELT processes;Keen understanding of agile methodologies and experience with Jira.Preferred Qualifications:Experience in cost reduction and performance optimization within data environments;Involvement in NLP and machine learning projects related to data;Technical leadership or participation in the restructuring of dashboards and analytical environments;Knowledge of data-oriented architectures and best governance practices.About Us:Serasa Experian is globally recognized for its people-first culture, diversity, and innovation. We offer an inclusive, collaborative environment with real growth opportunities, backed by certifications such as Great Place To Work™ and Top Employers, along with high ratings on Glassdoor.#LI-HYBRIDJoin us at #TimeVeloz. Let's grow together and continue transforming lives.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million visitors each month through popular brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As a leader in discovery and conversion, our goal is to connect consumers with top brands through innovative, data-driven content and technology.With our headquarters in South Florida and a remote-first workforce spanning 15 countries, we foster a high-growth, high-performance culture where agility, accountability, and measurable impact drive our success.WHY JOIN US?By joining Launch Potato, you will have the opportunity to advance your career by taking ownership of results, working quickly, and creating meaningful impact alongside a global network of high-performing individuals.
Join Experian as a Senior Data Engineer and leverage your expertise in data architecture and analytics to drive impactful business decisions. In this role, you will collaborate with cross-functional teams to design, develop, and maintain robust data solutions that enhance data accessibility and usability across the organization.
CI&T brings together human expertise and artificial intelligence to deliver scalable technology solutions. With a team of over 8,000 people and a history spanning three decades, CI&T has worked with more than 1,000 clients worldwide. Artificial Intelligence is a core part of the company’s approach to digital transformation. Location requirement: Candidates living in the Metropolitan Region of Campinas must work onsite at the Campinas office, following the company’s current attendance policy. Role overview The Senior Data Engineer will safeguard the integrity, consistency, and efficiency of data models throughout CI&T’s systems. This position involves reviewing data structures, setting standards, and supporting data governance efforts. What you will do Develop and maintain ETL and ELT data pipelines in Azure, using Databricks for processing and integration. Keep a broad perspective on projects, understanding how specific solutions impact the overall system. Implement CI/CD automation and version control with GitHub. Design and optimize data models for scalability, performance, and governance. Assist with cloud migration initiatives, focusing on data security, quality, and integrity. Collaborate with business and data science teams to deploy AI models in cloud environments. Monitor and profile data to maintain quality and consistency. Document data engineering workflows, architectures, and best practices. Technical requirements Extensive experience with Azure Data Services and Databricks. Proficiency in Databricks using PySpark. Direct experience productizing machine learning models in Databricks (MlOps). Background in near real-time data processing with Kafka. Advanced Python and SQL skills for data transformation and manipulation. Familiarity with CI/CD processes and version control using GitHub. Experience in data modeling at conceptual, logical, and physical levels.
Join Experian as a Senior Data Engineer and play a pivotal role in our data-driven initiatives. You will be responsible for designing and implementing robust data pipelines, ensuring data quality, and collaborating with cross-functional teams to drive business insights. Your expertise will help us harness the power of data to support strategic decision-making.
Join Our Team and Transform Your Career! At iFood, we are a leading Brazilian technology company setting the standard in Latin America. Our innovative solutions connect thousands of restaurants with millions of consumers each day, processing an impressive average of 100 million orders monthly. Beyond food delivery, we also operate in the Marketplace, Pharmacy, and Pet sectors. Our fintech, iFood Pago, encompasses various benefits including meal vouchers and banking services for restaurants. Become part of an agile team that thrives on cutting-edge technology and continuous innovation. In this role, you will be an integral member of the Data Governance team, tasked with enhancing data discovery and managing our metadata and data lifecycle. You will define and establish our data operations processes, collaborating closely with engineering, architecture, and data teams to ensure data is reliable, documented, secure, and accessible. This position requires a technical development component, focusing on identifying opportunities and implementing best practices for governance in modern cloud data environments.
Join our innovative team as a Senior/Principal Data Engineer and play a crucial role in designing a scalable, future-proof data infrastructure. You will be responsible for establishing a robust data platform that facilitates analytics and reporting, ultimately supporting business KPIs.Design and implement a scalable data warehouse or data lakehouse to enhance analytics and reporting capabilities.Develop and maintain dependable batch and streaming data pipelines sourced from internal databases and external systems.Collaborate closely with stakeholders to convert business requirements into efficient data models and schemas.Establish and uphold data modeling standards and best practices throughout the organization.Implement monitoring, data quality controls, and observability measures for all data workflows.Deliver well-structured datasets that empower self-service analytics for BI and data teams.Document the data platform comprehensively, including data lineage, definitions, and contracts to create a shared source of truth for metrics.
Are you eager to join a trailblazing company that’s at the forefront of digital transformation on a global scale? If you’re looking to sharpen your technical skills while enjoying ample opportunities for career advancement, we want to hear from you!The engineering team at Jitterbit is committed to upholding the highest standards of code quality, reflecting our professionalism and dedication. We relentlessly pursue innovation to create products that deliver unforgettable user experiences—fast, reliable, and impactful.As a pivotal member of our engineering team, you will collaborate closely with fellow engineers, product managers, and operations personnel to solve complex and challenging problems. You will have the unique opportunity to work alongside Distinguished Engineers and Architects.Our work culture is vibrant, fast-paced, performance-driven, and collaborative. We continuously push the technological envelope to its limits! With a distributed team structure, we excel in remote work environments, believing in hiring top talent wherever they may be located.In this role, you will contribute to the design and architecture of groundbreaking capabilities across our Cloud Application products. We’re in search of a seasoned full-stack engineer proficient in Angular, TypeScript, Node.js, CSS3, Nginx, Tomcat, Kafka, Elasticsearch, MySQL, Linux, Docker, and Kubernetes, among other technologies used within our Cloud Apps team.You will take full lifecycle responsibilities for developing robust, scalable, and distributed systems that operate seamlessly around the clock, every day of the year. This role presents an exceptional chance to expand your knowledge base as we continuously explore new territories and technologies, pushing the boundaries of our platform. Join us in a highly innovative environment as we strive to maintain our market-leading position.
jobgether is looking for a Senior Data Engineer based in Brazil. This position centers on building and maintaining data pipelines that support key business decisions. Role overview The Senior Data Engineer will design and implement data pipelines, focusing on reliability and accuracy. Maintaining data integrity is a core part of the job, as is delivering insights that inform strategy across the company. Key responsibilities Design and develop data pipelines to support data-driven projects Monitor and ensure the accuracy and consistency of data Contribute to the overall data architecture Translate data into actionable insights for business decision-makers Impact This role helps shape how jobgether uses data to achieve its goals. Your work will influence the direction of data initiatives and support the company's growth.
Jobgether is looking for a Senior Cloud Data Engineer based in Brazil. This position centers on creating and enhancing data pipelines and cloud architectures that help drive the company’s data strategy. Role overview This role focuses on designing, building, and refining cloud-based data systems. The work supports reliable and accessible data for the organiz…
Join Valtech, a leading experience innovation company, as a Senior Google Cloud Data Engineer. At Valtech, we pride ourselves on being a trusted partner to some of the world’s most renowned brands. We are dedicated to fostering growth opportunities, encouraging a values-driven culture, and providing international career paths that allow you to shape the future of experiences.The OpportunityAt Valtech, you will be immersed in a dynamic environment that values continuous learning and professional development. Your innovative contributions will play a pivotal role in transforming industries by pioneering new digital solutions and enhancing customer experiences.
About the Position: We are on the lookout for a talented Data Engineer with extensive experience in cloud environments (GCP and AWS). The ideal candidate will exhibit proficiency in platforms akin to Databricks and possess a strong technical acumen for structuring and managing Data Lakes. This professional will be responsible for designing, implementing, and maintaining robust and scalable data pipelines, ensuring the ingestion, processing, and accessibility of data across multiple layers (Raw, Refined, Curated).Key Responsibilities:Design and implement the architecture of a multi-layered Data Lake (Raw/Staging, Trusted/Refined, and Curated/Business Layer).Develop, orchestrate, and monitor data pipelines using tools like Apache Spark, PySpark, Airflow, dbt, or their equivalents.Work with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub) and AWS (S3, Glue, Athena, Redshift, EMR) to build scalable and secure solutions.Create efficient batch and streaming data ingestion processes integrating multiple sources.Collaborate with data scientists, analysts, and software engineers to ensure high-quality data availability and governance.Ensure versioning, security, and cataloging of data.
Wabtec Corporation seeks a Senior Cloud Engineer based in Contagem to design and build cloud architectures for mission-critical transportation technology applications. This role centers on creating solutions that keep essential systems secure, reliable, and scalable. Key Responsibilities Design cloud solutions that support core business operations and enhance reliability Implement architectures with an emphasis on scalability, security, and resilience Collaborate with teams to ensure cloud systems meet both performance and compliance requirements Role Overview This position focuses on shaping cloud environments that enable Wabtec’s applications to operate efficiently and securely at scale. The Senior Cloud Engineer will work with others to deliver robust, compliant infrastructure for the company’s technology platforms. About Wabtec Corporation Wabtec Corporation leads in the transportation sector, working to improve efficiency and reliability through advanced cloud computing. The company values innovation and the practical impact of technology in real-world operations.
As a Senior Data Engineer at Remotebase, you will play a pivotal role in designing and implementing resilient, scalable, and automated data pipelines. This position is critical in optimizing our data infrastructure and ensuring efficient data delivery across various departments. You will contribute significantly to the enhancement of our cloud data platform, primarily using Snowflake, and will be responsible for implementing and managing CI/CD processes, Infrastructure as Code (Terraform), and data transformation workflows (dbt).Key Responsibilities:Architect, develop, and maintain scalable CI/CD pipelines for data applications, focusing on Snowflake, dbt, and associated tools.Manage Snowflake dbt projects for data transformation, including the creation of dbt models, tests, and documentation while integrating dbt into CI/CD workflows.Utilize Terraform for Infrastructure as Code to provision and configure cloud resources for data storage, processing, and analytics on GCP.Automate deployment, monitoring, and management of Snowflake data warehouse environments to ensure optimal performance and security.Partner with data engineers and scientists to understand requirements and deliver robust automated solutions for data ingestion, processing, and delivery.Set up and manage monitoring, logging, and alerting systems for data pipelines and infrastructure to maintain high availability and proactive issue resolution.Develop and maintain automation scripts and tools, primarily in Python, to enhance operational efficiency, with Bash scripting for system-level tasks.Implement security best practices across the data infrastructure and pipelines.Diagnose and resolve data infrastructure and pipeline issues promptly.Engage in code reviews for infrastructure code, dbt models, and automation scripts.Document system architectures, configurations, and operational procedures.Stay updated on emerging DevOps technologies, data engineering tools, and cloud best practices, particularly related to Snowflake, dbt, and Terraform.Optimize data pipelines for performance, scalability, and cost-efficiency.Support data governance and quality initiatives from an operational perspective.Contribute to the implementation of AI features.
WHO ARE WE?Launch Potato is a thriving digital media company that engages over 30 million monthly visitors through renowned brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, we aim to connect consumers with top brands using data-driven content and technology.Headquartered in South Florida, we pride ourselves on our remote-first culture with a team spanning over 15 countries. Our high-growth, high-performance work environment emphasizes speed, ownership, and measurable impact to drive success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, moving swiftly, and making a significant impact with a global team of high achievers.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that attracts over 30 million monthly visitors through esteemed brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.Headquartered in South Florida with a remote-first team spread across over 15 countries, we’ve cultivated a high-growth, high-performance culture where speed, ownership, and measurable impact are the hallmarks of success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, driving results, and collaborating with a global team of high achievers.
Join ciandt as a Senior Data Engineer and be a pivotal part of our innovative team where data drives impactful solutions. You will work on complex data systems, developing robust data pipelines that enhance our business intelligence capabilities. Collaborate with cross-functional teams to design and implement scalable data architectures, ensuring data integrity and availability.
Role overview iFood Carreiras seeks a Senior Data Engineer to help shape and advance data-driven solutions. This fully remote position centers on building systems that turn information into insight for teams across the company. What you will do Design, build, and maintain data pipelines to meet business intelligence requirements Collaborate with teams to ensure data remains accurate, accessible, and reliable Support the ongoing development and refinement of data strategy Collaboration and impact This Senior Data Engineer works closely with colleagues from various departments. The role ensures data aligns with business goals and supports decision-making, directly shaping how iFood Carreiras uses information to drive innovation and growth.
Role overview Experian is looking for a Senior Data Engineer in São Carlos. This role focuses on building and maintaining data pipelines that connect multiple sources to analytics platforms. The work supports teams who rely on accurate, timely data to guide decisions. What you will do Design and implement data pipelines for reliable data movement Integrate data from diverse sources into analytics systems Work closely with other data professionals to support analytics and reporting Who you’ll work with Collaborate with a group of experienced engineers and analysts who value data quality and practical solutions.
Join the Analytics Team at TRACTIANAt TRACTIAN, our Data Engineering team plays a crucial role in constructing and sustaining the infrastructure that processes extensive datasets across our systems. We prioritize the availability, scalability, and performance of our data pipelines, facilitating efficient access and processing of both real-time and historical data. Our mission is to design resilient and fault-tolerant data systems that empower analytics and machine learning initiatives, ensuring data integrity and timeliness.Your RoleAs a Senior Data Engineer, your primary responsibility will be to develop data pipelines that support the extraction, loading, and transformation of data across various contexts. You will work to establish a reliable and trustworthy system that underpins our entire analytics framework. The challenges you encounter will range from managing large datasets to optimizing high-throughput systems, employing a diverse set of techniques for effective data management. Additionally, you will spearhead initiatives focused on enhancing the reliability and observability of our data pipelines.
Join our team as a Senior Data Engineer, where you will play a pivotal role in the development, enhancement, and maintenance of data engineering solutions. Your focus will be on ensuring scalability, performance, and reliability of our analytical platforms, with a strong emphasis on generating business value and informed decision-making.Your Daily Responsibilities Will Include:Designing, implementing, and maintaining end-to-end data pipelines (ingestion, transformation, and consumption);Building and evolving data lakes with Bronze, Silver, and Gold layers;Developing data processing solutions using Python and Databricks;Orchestrating workflows by creating and managing DAGs;Utilizing both relational and non-relational databases for analysis and query optimization;Creating and enhancing executive and analytical dashboards to support decision-making;Collaborating with business, analytics, and technology teams while adhering to best practices and quality standards.Qualifications:Proven experience in data engineering and data lake architecture;Proficiency in PostgreSQL and MongoDB, along with SQL optimization skills;Strong background in data visualization tools such as Power BI, Tableau, or QuickSight;Experience in developing pipelines using Python, PySpark, and Databricks;Expertise in data orchestration with Apache Airflow;Hands-on experience with AWS services (S3, Redshift, Athena, ECS, Lambda, APIs);Familiarity with complete ETL/ELT processes;Keen understanding of agile methodologies and experience with Jira.Preferred Qualifications:Experience in cost reduction and performance optimization within data environments;Involvement in NLP and machine learning projects related to data;Technical leadership or participation in the restructuring of dashboards and analytical environments;Knowledge of data-oriented architectures and best governance practices.About Us:Serasa Experian is globally recognized for its people-first culture, diversity, and innovation. We offer an inclusive, collaborative environment with real growth opportunities, backed by certifications such as Great Place To Work™ and Top Employers, along with high ratings on Glassdoor.#LI-HYBRIDJoin us at #TimeVeloz. Let's grow together and continue transforming lives.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million visitors each month through popular brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As a leader in discovery and conversion, our goal is to connect consumers with top brands through innovative, data-driven content and technology.With our headquarters in South Florida and a remote-first workforce spanning 15 countries, we foster a high-growth, high-performance culture where agility, accountability, and measurable impact drive our success.WHY JOIN US?By joining Launch Potato, you will have the opportunity to advance your career by taking ownership of results, working quickly, and creating meaningful impact alongside a global network of high-performing individuals.
Join Experian as a Senior Data Engineer and leverage your expertise in data architecture and analytics to drive impactful business decisions. In this role, you will collaborate with cross-functional teams to design, develop, and maintain robust data solutions that enhance data accessibility and usability across the organization.
CI&T brings together human expertise and artificial intelligence to deliver scalable technology solutions. With a team of over 8,000 people and a history spanning three decades, CI&T has worked with more than 1,000 clients worldwide. Artificial Intelligence is a core part of the company’s approach to digital transformation. Location requirement: Candidates living in the Metropolitan Region of Campinas must work onsite at the Campinas office, following the company’s current attendance policy. Role overview The Senior Data Engineer will safeguard the integrity, consistency, and efficiency of data models throughout CI&T’s systems. This position involves reviewing data structures, setting standards, and supporting data governance efforts. What you will do Develop and maintain ETL and ELT data pipelines in Azure, using Databricks for processing and integration. Keep a broad perspective on projects, understanding how specific solutions impact the overall system. Implement CI/CD automation and version control with GitHub. Design and optimize data models for scalability, performance, and governance. Assist with cloud migration initiatives, focusing on data security, quality, and integrity. Collaborate with business and data science teams to deploy AI models in cloud environments. Monitor and profile data to maintain quality and consistency. Document data engineering workflows, architectures, and best practices. Technical requirements Extensive experience with Azure Data Services and Databricks. Proficiency in Databricks using PySpark. Direct experience productizing machine learning models in Databricks (MlOps). Background in near real-time data processing with Kafka. Advanced Python and SQL skills for data transformation and manipulation. Familiarity with CI/CD processes and version control using GitHub. Experience in data modeling at conceptual, logical, and physical levels.
Join Experian as a Senior Data Engineer and play a pivotal role in our data-driven initiatives. You will be responsible for designing and implementing robust data pipelines, ensuring data quality, and collaborating with cross-functional teams to drive business insights. Your expertise will help us harness the power of data to support strategic decision-making.
Join Our Team and Transform Your Career! At iFood, we are a leading Brazilian technology company setting the standard in Latin America. Our innovative solutions connect thousands of restaurants with millions of consumers each day, processing an impressive average of 100 million orders monthly. Beyond food delivery, we also operate in the Marketplace, Pharmacy, and Pet sectors. Our fintech, iFood Pago, encompasses various benefits including meal vouchers and banking services for restaurants. Become part of an agile team that thrives on cutting-edge technology and continuous innovation. In this role, you will be an integral member of the Data Governance team, tasked with enhancing data discovery and managing our metadata and data lifecycle. You will define and establish our data operations processes, collaborating closely with engineering, architecture, and data teams to ensure data is reliable, documented, secure, and accessible. This position requires a technical development component, focusing on identifying opportunities and implementing best practices for governance in modern cloud data environments.
Join our innovative team as a Senior/Principal Data Engineer and play a crucial role in designing a scalable, future-proof data infrastructure. You will be responsible for establishing a robust data platform that facilitates analytics and reporting, ultimately supporting business KPIs.Design and implement a scalable data warehouse or data lakehouse to enhance analytics and reporting capabilities.Develop and maintain dependable batch and streaming data pipelines sourced from internal databases and external systems.Collaborate closely with stakeholders to convert business requirements into efficient data models and schemas.Establish and uphold data modeling standards and best practices throughout the organization.Implement monitoring, data quality controls, and observability measures for all data workflows.Deliver well-structured datasets that empower self-service analytics for BI and data teams.Document the data platform comprehensively, including data lineage, definitions, and contracts to create a shared source of truth for metrics.
Are you eager to join a trailblazing company that’s at the forefront of digital transformation on a global scale? If you’re looking to sharpen your technical skills while enjoying ample opportunities for career advancement, we want to hear from you!The engineering team at Jitterbit is committed to upholding the highest standards of code quality, reflecting our professionalism and dedication. We relentlessly pursue innovation to create products that deliver unforgettable user experiences—fast, reliable, and impactful.As a pivotal member of our engineering team, you will collaborate closely with fellow engineers, product managers, and operations personnel to solve complex and challenging problems. You will have the unique opportunity to work alongside Distinguished Engineers and Architects.Our work culture is vibrant, fast-paced, performance-driven, and collaborative. We continuously push the technological envelope to its limits! With a distributed team structure, we excel in remote work environments, believing in hiring top talent wherever they may be located.In this role, you will contribute to the design and architecture of groundbreaking capabilities across our Cloud Application products. We’re in search of a seasoned full-stack engineer proficient in Angular, TypeScript, Node.js, CSS3, Nginx, Tomcat, Kafka, Elasticsearch, MySQL, Linux, Docker, and Kubernetes, among other technologies used within our Cloud Apps team.You will take full lifecycle responsibilities for developing robust, scalable, and distributed systems that operate seamlessly around the clock, every day of the year. This role presents an exceptional chance to expand your knowledge base as we continuously explore new territories and technologies, pushing the boundaries of our platform. Join us in a highly innovative environment as we strive to maintain our market-leading position.
jobgether is looking for a Senior Data Engineer based in Brazil. This position centers on building and maintaining data pipelines that support key business decisions. Role overview The Senior Data Engineer will design and implement data pipelines, focusing on reliability and accuracy. Maintaining data integrity is a core part of the job, as is delivering insights that inform strategy across the company. Key responsibilities Design and develop data pipelines to support data-driven projects Monitor and ensure the accuracy and consistency of data Contribute to the overall data architecture Translate data into actionable insights for business decision-makers Impact This role helps shape how jobgether uses data to achieve its goals. Your work will influence the direction of data initiatives and support the company's growth.
