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Senior Data Engineer Databricks

Senior Data Engineer Databricks

CareerFit.ai

5 - 8 years

15 - 25 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

databricks engineer pyspark azure databricks ci/cd sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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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