Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
About the role
- Data Engineer II role focusing on developing and maintaining data pipelines for analytics. Collaborating with Data Science and Analytics teams to ensure data quality and reliability.
Responsibilities
- Support the development, maintenance and evolution of data pipelines for analytical consumption, with a focus on quality, performance and reliability.
- Contribute to the construction and maintenance of analytical datasets, tables and features used by Analytics and Data Science teams.
- Assist with integrating data from multiple sources (internal and external), following defined architecture and governance standards.
- Participate in automating manual processes and continuously improving data ingestion and transformation workflows.
- Develop ETL/ELT routines using SQL and Python under the guidance of more experienced professionals.
- Support documentation of pipelines, data models and workflows, ensuring traceability and shared understanding.
- Collaborate with data scientists and analysts in building and evolving business variables and metrics.
- Work on support and monitoring of existing pipelines, helping to identify and address failures, inconsistencies and data quality issues.
- Follow data engineering best practices, code versioning and change control.
- Work collaboratively with the team, participating in technical refinements and continuously learning about the business.
Requirements
- Bachelor's degree (completed or in progress) in Computer Engineering, Information Systems, Computer Science or related fields.
- Knowledge of SQL for querying and manipulating data in relational databases.
- Initial or academic experience with Python for data processing and transformation.
- Basic knowledge of data pipelines (ETL/ELT) and analytical architecture.
- Familiarity with cloud environments (preferably AWS).
- Initial exposure to or familiarity with Amazon Redshift or other analytical databases.
- Basic knowledge of code versioning with Git.
- Ability to understand problems, seek help, learn from feedback and grow technically.
- Good communication skills to interact with the team and understand business requirements.
Benefits
- Meal and/or food allowance.
- Health and dental insurance.
- Life insurance.
- Partnerships with TotalPass and ZenKlub.
- Extended maternity and paternity leave.
- Childcare assistance.
- Up to 50% discounts on postgraduate and MBA programs from major institutions such as FIA, FAAP and PUCRS.
- No strict dress code: wear what makes you comfortable.
- #TáDeParabéns: Day off on your birthday.
- Baby Gift: present for newborns.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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