Data Engineer

About WPP Media WPP is a leader in creative transformation, utilizing the power of creativity to foster better futures for our workforce, the planet, our clients, and communities. Discover more at wpp.com. WPP Media stands as WPP’s global media collective. In an era where media is omnipresent, we unite the finest platforms, talent, and partnerships to unlock boundless growth opportunities. Explore further at wppmedia.com. At WPP Media, we cherish our culture and our people, which empowers us to deliver extraordinary experiences for both our clients and ourselves. In this position, embracing WPP and WPP Media’s united core values will be essential: Be Extraordinary by Leading Collectively to Inspire Transformational Creativity. Create an Open environment by Balancing People and Client Experiences through Trust. Lead Optimistically by Fostering Growth and Development to Mobilize the Enterprise. Key Responsibilities: Oversee the maintenance and enhancement of WPP’s Measure reporting platform, aligning it with client reporting needs. Utilize Google Cloud Platform applications to efficiently transfer data into client environments (Azure, GCP, etc.), enhancing performance and ensuring data quality and service excellence. Deploy and resolve issues with data collectors in Adverity to aggregate data from various media and agency systems. Enhance existing data “recipes” and transformations in SQL via DBT running on Google Cloud Platform, sharing scripts with a central repository. Develop and uphold data quality checks and procedures to proactively address data issues impacting reporting solutions. Collaborate with the program lead to sustain a development roadmap for new advertising platforms, reports, and provisioning destinations. Lead a team of two junior engineers, managing support tickets, troubleshooting issues, and fostering their professional growth. Exhibit proficiency in Google Cloud Platform and related technologies, ensuring adherence to industry best practices. Monitor automated jobs, addressing data issues as they arise.

About the RoleJoin us at Meesho as an Engineering Manager, where you will spearhead our Data Platform initiatives. In this pivotal role, you will be responsible for the architecture and continuous enhancement of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform. This infrastructure will empower real-time decision-making across our organization. You will champion consistency and quality by establishing effective engineering strategies, overseeing multiple engineering projects, ensuring timely delivery, facilitating cross-functional collaboration, and mentoring a team of engineers to help them evolve into high-performing contributors.

At HackerRank, we empower innovative companies such as NVIDIA, Amazon, and Microsoft to hire and enhance the skills of the next generation of developers based on their abilities rather than their backgrounds. Our platform is trusted by over 2,500 forward-thinking organizations worldwide to foster strong engineering teams prepared for future challenges.In an era where humans and AI collaborate seamlessly, the definition of exceptional technical talent is evolving. We provide companies with superior methods to identify and nurture next-generation skills.Our team at HackerRank is passionate about the impact of our work, paying attention to the smallest details to ensure our customers achieve remarkable success with products they genuinely love. We operate with a sense of urgency and believe that excellence is achieved through high standards.About the Role:As the Engineering Manager - Data, you will lead and develop our Data Engineering team while establishing the technical vision for our data platform. You will be responsible for building scalable and reliable systems that drive analytics, experimentation, AI models, and executive decision-making across the organization.This critical leadership position combines platform architecture, data strategy, and team development.What You Will Do:Own and direct the technical roadmap for the Data Engineering team, ensuring quarterly planning and delivery.Implement product plans and manage delivery commitments with a strong emphasis on quality and timelines.Architect and construct scalable backend systems, data pipelines, and infrastructure components in line with 12-factor app principles.Design and execute robust data warehouses and strategies for SaaS products.Define clear quarterly objectives for the team and guide efforts to achieve measurable results.Mentor engineers and assist them in delivering their best work.Establish clear career paths for team members and support their professional development.Lead technical discussions and assist engineers in making crucial architectural and design choices.Collaborate closely with the Product team to develop and refine the data and platform roadmap.

About WPP MediaWPP is recognized as a trusted partner in driving growth for some of the world’s most prestigious brands. With a combination of exceptional talent, reliable data and insights, and outstanding partnerships, we empower our clients to navigate change effectively, seize opportunities, and achieve transformative growth.WPP Media, an AI-driven segment of WPP, integrates media, data, and partnerships to offer personalized creative solutions at scale. Utilizing WPP Open and powered by Open Intelligence, our clients gain clear visibility into the effectiveness of their media investments.To learn more, visit wppmedia.com.Our Culture at WPP MediaAt WPP Media, we leverage the power of creativity to foster better futures for our employees, communities, and the planet. As a part of our team, you will embody our core values: Excellence: Lead collectively to inspire transformational creativity.Openness: Foster trust by balancing people and client experiences.Optimism: Champion growth and development to drive the enterprise forward.Key Responsibilities:Oversee the maintenance and enhancement of WPP’s Measure reporting platform to align with client reporting requirements.Utilize Google Cloud Platform applications to facilitate data transfers to client environments (Azure, GCP, etc.), enhancing performance and ensuring data quality.Implement and troubleshoot data collectors in Adverity to source data from various platforms, including media and agency systems.Refine and expand upon existing data transformations using SQL with DBT on Google Cloud Platform.

For over two decades, Smartsheet has empowered individuals and teams to accomplish anything they set out to do. With our innovative work management solutions, we streamline workflows, enabling teams to automate tasks, derive insights, and scale with intelligence. Moreover, we foster an environment where creativity thrives, allowing for big ideas to flourish and meaningful work to unfold. At the intersection of challenge and purpose, we create a magic that drives progress, and this is the ethos we embrace every day.As a pioneering Intelligent Work Management Platform, Smartsheet is redefining how work is done by integrating people, data, and AI to propel businesses forward. We don’t simply automate operations; we dissolve barriers to execution and convert strategic visions into tangible enterprise results. Our Global Capability Center in India is not just a support hub; it’s a center of innovation driving our global growth and scalability. We are seeking a Manager of Data Engineering who is eager to embrace variety and ownership. You will collaborate across diverse teams and disciplines, enhancing your skill set as you tackle complex challenges in a global framework.Key Responsibilities:Mentor and coach team members to maximize their strengths and achieve peak performance.Lead a team of data engineers and operations specialists.Establish and oversee solutions for our data platform, ensuring scalability, cost-effectiveness, and reliability.Develop and maintain the data platform, including CI/CD/CT pipelines.Leverage team strengths through effective delegation.Support team and individual priorities to cultivate a positive culture aligned with Smartsheet values.Facilitate the setting of priorities and ensure the delivery of commitments across the team.

About WPP MediaWPP Media is the trusted growth partner for the world’s leading brands. Combining exceptional talent, reliable data and intelligence, along with world-class partnerships, we empower clients to navigate change and seize opportunities for transformative growth through our innovative marketing platform, WPP Open.As WPP's AI-driven media operating unit, WPP Media integrates media, data, and partnerships to deliver large-scale creative personalization. Through WPP Open and powered by Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.WPP Media OverviewAt WPP, we harness the power of creativity to foster better futures for our people, planet, clients, and communities. Explore more at wpp.com.WPP Media, our global media collective, thrives in a world where media is omnipresent. We unite the finest platforms, talent, and partners to unlock limitless growth opportunities. Discover more at wppmedia.com.We pride ourselves on our vibrant culture and team. This role is essential for embodying the core values shared by WPP and WPP Media:Be Extraordinary by collectively leading to inspire transformational creativity.Create an Open environment by balancing people and client experiences through trust cultivation.Lead Optimistically by championing growth and development to mobilize the enterprise.

Lead Data EngineerAs a Lead Data Engineer at Brillio, you will spearhead the design and implementation of data solutions that drive business intelligence and analytics. Your expertise will play a crucial role in optimizing data pipelines and ensuring data integrity across various platforms. Join our innovative team in Bangalore, where you will collaborate with cross-functional teams to leverage data in transformative ways.

Lead Data EngineerAs a Lead Data Engineer at Brillio, you will spearhead our data engineering initiatives, driving the development and implementation of robust data solutions. Your expertise will enhance our capabilities in data analytics and machine learning, ensuring we leverage data as a strategic asset. Collaborating with cross-functional teams, you will design and optimize data pipelines, enabling efficient data management and analysis. This role requires a passion for data and the ability to lead a team towards achieving excellence in data engineering.

Lead Data EngineerJoin our dynamic team at Brillio as a Lead Data Engineer, where you will take charge of designing, developing, documenting, and testing cutting-edge data pipelines. You will work with both structured and unstructured data sources in the Azure cloud environment, leveraging tools such as Azure Synapse and Azure Data Factory to drive impactful data solutions.In this role, you will utilize your expertise to create complex data pipelines, demonstrating your proficiency in Azure Synapse and Azure Data Factory. Your skills in SQL and Python (with a preference for Pyspark) will be essential, and experience with Databricks or Synapse notebooks will be highly valued. You will also engage in source control processes and collaborate effectively with business stakeholders, showcasing your excellent communication skills.

Join Our Team as a Senior Lead Data EngineerAre you an innovative and experienced Data Engineer ready to take the lead in transforming data into actionable insights? At Brillio, we are looking for a Senior Lead Data Engineer who is passionate about leveraging advanced data engineering techniques to drive our AI and data initiatives forward.In this role, you will oversee data architecture, design, and development, ensuring that our data solutions meet business needs while optimizing performance and reliability. Your expertise will guide the team in building robust data pipelines and implementing best practices in data management and governance.

Role Overview Kaseya is hiring a Senior Engineering Manager for its Data Platform & AI group in Bangalore, India. This leader will guide a team of engineers building data solutions and AI-powered applications. What You Will Do Shape and drive the architectural direction for data and AI projects Oversee project delivery from planning through execution Maintain high quality standards across all deliverables Promote a collaborative team environment and encourage ongoing improvement

Senior Data EngineerJoin our innovative team at Brillio, where we are dedicated to harnessing the power of data to drive business solutions. As a Senior Data Engineer, you will play a pivotal role in designing and implementing robust data pipelines and architectures that support our AI and data engineering initiatives. Your expertise will help us transform complex data into actionable insights, enabling our clients to make informed decisions. This is an exciting opportunity for professionals who are passionate about data and eager to contribute to cutting-edge projects.

Lead Data EngineerJoin our dynamic team at Brillio as a Lead Data Engineer, where you will take charge of designing and implementing robust data solutions. You will work closely with our AI & Data Engineering departments to drive innovation and efficiency in data processing and analytics. Your expertise will be crucial in guiding our data strategy and ensuring optimal performance of our data infrastructure.

Join Our Team as a Senior Databricks Data Engineer!We are looking for a talented Senior Data Engineer to enhance our data processing capabilities using Databricks. In this role, you will collaborate with cross-functional teams to design and implement robust data solutions that drive business insights and support our AI initiatives. If you are passionate about data engineering and eager to work in an innovative environment, we would love to hear from you!

Jumio Corporation is hiring a Data Engineer II to join the biometrics team in Bangalore. This role focuses on enhancing how biometric data is processed and managed, directly supporting the company’s identity verification products. Key responsibilities Build and maintain data pipelines that handle biometric information Use modern technologies to improve data processing workflows Contribute to stronger data management practices and help ensure reliability Location The position is based on-site in Bangalore.

About Us Moniepoint Inc. stands as Africa's premier financial ecosystem, offering comprehensive solutions that empower over 10 million businesses and individuals with seamless access to payment frameworks, banking services, credit solutions, and essential business management tools since its inception in 2019. As Nigeria's foremost merchant acquirer, Moniepoint facilitates the majority of the country's Point of Sale (POS) transactions. Our subsidiaries collectively handle a staggering $22 billion in transactions monthly, all while maintaining profitable operations. Role Overview: At Moniepoint, data is integral to our mission. As a Data Engineering Lead, you will be pivotal in enabling our teams to leverage data for informed decision-making that drives our business success. You will engineer scalable, robust data systems that bolster our business intelligence and analytics capabilities. We seek leaders who are not only technically proficient but also passionate about mentoring their teams and exploring innovative data solutions. Curious about our workplace culture? Discover how we foster innovation, teamwork, and personal growth. Key Responsibilities: Design and maintain robust data pipelines to handle large data volumes efficiently. Conduct analyses of extensive data sets utilizing tools such as Python and SQL. Enhance our data platform for improved speed, scalability, and cost-effectiveness. Collaborate with various teams to understand and fulfill their data requirements. Create processes and tools for monitoring and evaluating model performance and data accuracy. Address general data-related challenges. Establish new data pipelines for the complete stream, enrichment, and curation processes. Maintain source code repositories. Explore and implement machine learning and AI to enhance our cloud offerings. Support the development of junior team members. Qualifications for Success: 5-7+ years of proven experience as a Data Engineer, with a strong portfolio of accomplishments. Demonstrated leadership experience. Exceptional problem-solving abilities. Advanced SQL skills. Proficiency in Python. Familiarity with cloud platforms such as Google Cloud, AWS, or Azure. Experience with version control systems like Git. Excellent verbal and written communication skills. A strong desire to learn and grow within the field.

Couchbase, Inc. is seeking a Senior Finance Data Engineer to join its Finance team in Bangalore, India. This position centers on supporting the company’s financial operations through data engineering expertise. Role overview The Senior Finance Data Engineer will play a central part in the Finance team. The role involves working with financial data and supporting the team’s objectives through data-driven solutions. Location This position is based in Bangalore, India. Company background Couchbase provides an operational data platform used by leading organizations to manage operational, analytical, mobile, and AI workloads. The platform helps enterprises modernize infrastructure and unify data services for performance and scalability. Learn more at couchbase.com.

Position Summary: The Senior Clinical Data Engineer is pivotal in the strategic advancement and enhancement of clinical data systems, ensuring alignment with regulatory standards, facilitating advanced analytics, and promoting operational excellence across global clinical trials. This role spearheads enterprise-level data standardization projects and designs scalable validation frameworks, effectively addressing systemic data challenges. With extensive expertise in programming languages such as Python, R, SQL, and SAS, the engineer develops and sustains modular codebases, establishes coding standards, and provides mentorship to junior engineers. The position also involves ensuring compliance with regulatory requirements such as GCP and FDA 21 CFR Part 11 by creating comprehensive documentation and audit trail protocols. Utilizing dynamic dashboards and analytical tools, the engineer provides actionable insights into trial performance and data quality. Acting as a strategic liaison among Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions, leading the design of secure, high-performance databases and ETL pipelines that integrate data from various clinical systems. Essential Functions: Data Standardization & Mapping: Lead the creation of enterprise-level data mapping strategies to convert raw clinical data into standardized formats for impactful analytics. Ensure governance of data standards across programs for regulatory compliance and consistency. Data Quality Assurance: Develop and implement robust validation frameworks that proactively identify and mitigate systemic data issues, collaborating closely with Clinical Data Managers and cross-functional teams to enhance data integrity across global trials. Programming & Scripting: Design and maintain advanced modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Set coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Regulatory Compliance & Documentation: Lead initiatives to ensure data systems and workflows align with GCP, FDA 21 CFR Part 11, and evolving global regulatory standards. Establish documentation protocols and oversee audit trail governance for inspection readiness. Reporting & Visualization: Develop and operationalize dynamic dashboards and analytics tools, delivering insights into trial performance and data quality.

Proven experience in establishing data pipelines using Azure technologies.Hands-on expertise with Azure Data Factory for data integration and transformation.Proficient in setting up Azure Data Lake to handle both structured and unstructured data.Ideal candidates will demonstrate self-motivation and the ability to independently design, develop, and implement solutions with minimal guidance.In-depth knowledge of Azure services, including Storage (AFS, Blob, Data Lake) and Azure Functions.Strong database skills, with the capability to write complex SQL queries and design efficient schemas.Experience in establishing CI/CD pipelines in Azure using GitHub.