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Data Pipeline Architect

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About the Role

We are seeking a skilled Senior ETL Developer to join our team.

The successful candidate will be responsible for evaluating and understanding current-state Informatica ETL jobs, mappings, workflows, and dependencies.

Key responsibilities include:

  • Evaluating and redesigning data pipelines using Databricks (PySpark/Scala/SQL) to optimize performance and scalability.
  • Collaborating with cross-functional teams, including data architects, DevOps, QA, and business stakeholders, to validate functionality and ensure successful migration.
  • Developing automated testing and validation scripts to verify data integrity post-migration.
  • Establishing CI/CD practices for deployment of Databricks notebooks/jobs.
  • Documenting design patterns, migration strategy, and data lineage for audit and compliance.

Nice to have skills:

  • Evaluation and optimization of data pipelines.
  • Implementation of data pipelines using Databricks (PySpark/Scala/SQL).
  • Optimization of performance and scalability.
  • Cross-functional collaboration.
  • Automated testing and validation.
  • CI/CD practices.
  • Documentation of design patterns and migration strategy.

We offer a dynamic work environment and opportunities for growth and development.

This is an exciting opportunity to join a talented team and contribute to the success of our organization.