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Sr Data Engineer - Databricks

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Job Description - Sr Data Engineer - Databricks




Exp- 5+ yrs





Location- Remote (Preferred candidates to be in bangalore)



Notice- Looking candidates with to be joining within 30 Days







Key Responsibilities:







  • Design, implement, and optimize scalable data pipelines using Databricks and Apache Spark.


  • Architect data lakes using Delta Lake, ensuring reliable and efficient data storage.


  • Manage metadata, security, and lineage through Unity Catalog for governance and compliance.


  • Ingest and process streaming data using Apache Kafka and real-time frameworks.


  • Collaborate with ML engineers and data scientists on LLM-based AI/GenAI project pipelines.


  • Apply CI/CD and DevOps practices to automate data workflows and deployments (e.g., with GitHub Actions, Jenkins, Terraform).


  • Optimize query performance and data transformations using advanced SQL.


  • Implement and uphold data governance, quality, and access control policies.


  • Support production data pipelines and respond to issues and performance bottlenecks.


  • Contribute to architectural decisions around data strategy and platform scalability.










Requirements




Required Skills & Experience:







  • 5+ years of experience in data engineering roles.

  • Proven expertise in Databricks, Delta Lake, and Apache Spark (PySpark preferred).

  • Deep understanding of Unity Catalog for fine-grained data governance and lineage tracking.

  • Proficiency in SQL for large-scale data manipulation and analysis.

  • Hands-on experience with Kafka for real-time data streaming.

  • Solid understanding of CI/CD, infrastructure automation, and DevOps principles.

  • Experience contributing to or supporting Generative AI / LLM projects with structured or unstructured data.

  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.

  • Strong problem-solving, debugging, and system design skills.

  • Excellent communication and collaboration abilities in cross-functional teams.












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