Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
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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