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Senior Data Engineer, Data Lake (Brazil Remote)
Build and maintain Spark, Databricks, and Airflow pipelines for Visa’s corporate data lake. Improve data quality, orchestration, and dependable self-service access to data.
विवरण
- Develop, test, and maintain Databricks ingestion, transformation, and data-quality pipelines with PySpark and SparkSQL.
- Create and update MWAA Airflow DAGs to orchestrate data workflows.
- Write and optimize SQL for transformation and validation tasks.
- Implement and monitor data-quality checks with Great Expectations or an equivalent tool.
- Contribute to peer code reviews.
- Troubleshoot pipeline failures and data-quality issues with support from senior engineers.
- Create and update documentation for datasets and pipelines.
- Take part in sprint planning, estimation, and retrospectives.
- Apply the team’s CI/CD, testing, and governance standards.
- Help strengthen the reliability and quality of Visa’s corporate data lake.
आवश्यकताएँ
- Be based in Brazil.
- Communicate in English at B2 level or higher (Upper-Intermediate).
- Have at least 3 years of relevant experience with a Bachelor’s or Associate’s degree, or at least 5 years of relevant experience.
- Use Python for automation and data processing.
- Understand batch data pipelines and ETL/ELT patterns.
- Know the fundamentals of Apache Spark, including PySpark or SparkSQL.
- Work with Databricks jobs, workflows, cluster management, and performance tuning.
- Use intermediate to advanced SQL, including joins, window functions, and CTEs.
- Understand Amazon S3 data-lake design, including partitioning, layout, and lifecycle management.
- Know core AWS concepts, including S3, IAM, and CloudWatch.
- Understand dimensional or Kimball modeling and medallion-layer architectures.
- Use Git/GitHub workflows and participate in code reviews.
- Preferred: experience with Delta Lake, Apache Airflow/MWAA, CDC patterns, data-quality concepts, Terraform fundamentals, or BI integration such as Superset and dashboarding.
लाभ
- Remote work arrangement.
- Opportunity to make an impact at scale.
- Professional development and skill growth through meaningful work.
- Remote employees may have scheduled, advance-notice opportunities to work from a Visa office.
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