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Data Engineer - SQL / Spark

Data Engineer - SQL / Spark

FLEXI Careers India Pvt LtdBangalore
4 days ago
Job description

Responsibilities :

  • Design, develop, and maintain scalable data pipelines using Apache Spark and Databricks.
  • Implement data warehouse solutions on AWS, leveraging services like Redshift, Athena, and Glue.
  • Lead the development of data models and schemas for both SQL and NoSQL databases.
  • Implement and manage data governance and quality processes.
  • Collaborate with data scientists and analysts to support their data needs.
  • Implement CI / CD pipelines for data and ML workflows.
  • Mentor and guide junior data :
  • 8+ years of hands-on experience in data engineering, with at least 4 years in a lead or

architect-level role.

  • Deep expertise in Apache Spark, with proven experience developing large-scale distributed
  • data processing pipelines.

  • Strong experience with Databricks platform and its internal ecosystem (e.g., Delta Lake, Unity
  • Catalog, MLflow, Job orchestration, Workspaces, Clusters, Lakehouse architecture).

  • Extensive experience with workflow orchestration using Apache Airflow.
  • Proficiency in both SQL and NoSQL databases (e.g., Postgres, DynamoDB, MongoDB,
  • Cassandra) with a deep understanding of schema design, query tuning, and data partitioning.

  • Proven background in building data warehouse / data mart architectures using AWS services like Redshift, Athena, Glue, Lambda, DMS, and S3.
  • Familiarity with MLflow, Feature Store, and Databricks-native ML tooling is a plus.
  • Strong grasp of CI / CD for data and ML pipelines, automated testing, and infrastructure-as-
  • code (Terraform, CDK, etc.).

    (ref : hirist.tech)

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