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Senior Data Engineer

Computomic
Bengaluru, KA, IN
Full-timeOn-site4 - 8 yrs
7hrs ago0 view0 clicked apply

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We’re Hiring: Senior Data Engineers (Immediate to 30 days)


Location: Whitefield, Bangalore


Platform Specialization: Databricks


Project Scope: Complex DWH & Migration initiatives across the full data engineering lifecycle


Are you passionate about building scalable data pipelines, optimizing performance, and solving real-world data challenges? We’re looking for hands-on Data Engineers who thrive in fast-paced environments and bring deep expertise in SQL, Python, Spark, Databricks, and cloud-native data platforms.


Senior Data Engineers (4–8 years):

  • Build and optimize robust data pipelines for ingestion, transformation, and analytics
  • Work across structured and semi-structured data sources, ensuring performance and reliability
  • Collaborate with cross-functional teams to deliver scalable solutions on Databricks
  • Strong coding skills in SQL, Python, and Spark are a must
  • Experience in data validations, reconciliation, and quality checks across ingestion and transformation stages


Must-Have Technical Skills:

  • Advanced SQL (window functions, CTEs, performance tuning)
  • Python (data manipulation, modular design, error handling)
  • Advanced Apache Spark Programming
  • Databricks (Notebooks, Delta Lake, Job Orchestration, Unity Catalog, Delta Live Tables, DB Asset Bundles, Lakehouse Architecture, Workspace Management, Cluster Configuration, MLflow Integration, and Role-Based Access Control)
  • CI/CD pipelines, version control (Git), and testing frameworks
  • Experience with cloud platforms (Azure, AWS, or GCP)


Software Engineering Fundamentals:

  • Clean code practices and modular design
  • Agile delivery and sprint planning
  • Debugging, logging, and exception handling
  • Code reviews and mentoring junior engineers
  • Understanding of system design and scalability


Bonus Skills:

  • Exposure to data modeling (dimensional, star/snowflake schemas)
  • Familiarity with data governance, lineage, and cataloging tools
  • Prior experience in large-scale data migration projects and validation frameworks


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