Data Technical Custodian

Credicorp Capital invites you to transform challenges into opportunities and become our next Technical Data Lead for the Center of Excellence in Data and Analytics, located in Lima, Peru.Mission:You will be accountable for the technical execution of data projects, encompassing everything from requirements analysis to the design of data models and transformations. You will lead engineering teams, ensuring adherence to standards and best practices for the successful delivery of every initiative.Key Responsibilities:Encourage the adoption of guidelines, technologies, and standards for Data and Analytics solutions.Design and develop ETL/ELT processes for both structured and unstructured data.Implement scalable and reliable data processes following best development practices.Engage in planning and executing solutions throughout the data project lifecycle.Monitor project task progress, identifying risks and areas for improvement.Select and train data engineers based on business needs.Manage the data engineering team and the relationship with suppliers within the operational model.Qualifications:University degree in Computer Engineering, Systems Engineering, or Computer Science.At least 1 year of experience in cloud data integration development, specifically with Azure and DataBricks.A minimum of 2 years as a technical lead in Data projects.Over 3 years of experience with various relational databases (PostgreSQL, MySQL, Oracle, SQL), analytical databases (Redshift, BigQuery), NoSQL databases (MongoDB, Redis), and different file formats (Avro, Parquet).Proven experience in data modeling.Relevant courses or diplomas in Data and Analytics.Familiarity with Scrum Master or Agile Practices (desirable).Knowledge of Data Vault 2.0 (desirable).Intermediate proficiency in PySpark, Python, R, or Scala.Understanding of CI/CD / Data Ops best practices.Experience with automated testing best practices.Knowledge of best practices and experience in tuning and optimizing processes.Awareness of development standards and practices.Other Skills:Analytical skills for problem-solving.Design of complex data integration solutions.Effective communication skills (clear, simple, and efficient).Planning capabilities.Desirable experience in...

Join Credicorp Capital and take the lead in executing technical data and analytics initiatives, transforming business needs into scalable, reliable data solutions that adhere to corporate standards. As the Data Tech Lead, your mission is to ensure the successful technical implementation of data projects, guiding engineering teams from requirement analysis to production deployment while ensuring quality, performance, and sustainability of the solutions.Your goal is to design, oversee, and evolve integration, modeling, and data processing solutions, promoting best practices in engineering, DataOps, and architecture in coordination with architects, data governance, product owners, and technology teams.Main ResponsibilitiesDesign and lead the implementation of data integration and processing solutions (ETL/ELT) for both structured and unstructured data.Define and promote technical standards, architectural guidelines, and best practices in data engineering.Supervise the design and implementation of analytical and integration data models.Ensure the scalability, reliability, and quality of data pipelines in production environments.Actively participate in the technical planning of data projects, estimating efforts, risks, and dependencies.Monitor the technical progress of initiatives, identifying improvement opportunities and mitigating risks.Lead and technically support data engineers, aiding their development and accelerating their onboarding process.Coordinate technical relationships with external vendors and teams within the operational model.Ensure the correct application of CI/CD practices, DataOps, and automated testing in data solutions.Experience and SkillsAt least 1 year of experience as a Technical Lead in Data or Analytics projects.Experience in data integration and processing using Azure Data Factory and Databricks.Design and implementation of complex data integration solutions.Solid experience in data modeling.Over 3 years of experience working with relational databases (PostgreSQL, MySQL, Oracle, SQL Server), analytical databases (Redshift, BigQuery), and NoSQL databases (MongoDB, Redis).Experience applying best practices in CI/CD, DataOps, and automated testing.Experience in optimizing and tuning data processes.Strong analytical capabilities and problem-solving orientation.Clear and effective communication with stakeholders.

Join our dynamic team at inetum2 as a Data Analyst / Data Integrator specializing in Azure. In this pivotal role, you will be responsible for harnessing data from various sources to provide insightful analysis and integrations that drive business solutions. Your expertise in Azure technologies will be essential in optimizing our data processes and ensuring data integrity.

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Join our dynamic team at inetum2 as a Data Analyst specializing in Azure. In this role, you will leverage your analytical skills to interpret complex data sets, contributing to our mission of delivering top-notch solutions to our clients. Your expertise in Azure will be pivotal in optimizing our data processes and enhancing our analytical capabilities.

Location: Lima, Peru (hybrid). This position requires office attendance in Surquillo 2-3 times per week. Role overview The Data Governance Specialist will join Encora's agile technology team to support and develop digital solutions that address business needs. This role plays a key part in shaping data governance practices and advancing digital product innovation for clients. Requirements Bachelor's degree in Systems Engineering, Software, Computer Science, or a related field At least 3 years of experience in Data Governance Skilled in applying DAMA-DMBOK frameworks Basic understanding of BIAN, COBIT, and DMM Experience with governance frameworks and data governance models Proven ability to develop guidelines, data governance policies, and quality standards Hands-on experience with Databricks and Oracle Expertise in data quality management, including rule implementation and quality dashboards Familiarity with tools such as Collibra, Montecarlo, Hana, Informatica, or similar Proficiency in Copilot Work modalities This is a hybrid role. Regular in-office collaboration in Surquillo is expected 2-3 times per week. Equal opportunity Encora considers only skills and qualifications in hiring decisions. The company welcomes professionals regardless of age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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