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Computomic
Computomic

Senior Data Engineer

Bangalore Bazaar, India
4+ years exp
Full-time
Posted 5d ago
1 views
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Job Description

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

Key Requirements & Skills

  • 4–8 years of experience as a Data Engineer
  • Strong coding skills in SQL, Python, and Spark
  • Advanced SQL (window functions, CTEs, performance tuning)
  • Python (data manipulation, modular design, error handling)
  • Advanced Apache Spark programming
  • Databricks expertise (Notebooks, Delta Lake, Job Orchestration, Unity Catalog, Delta Live Tables, DB Asset Bundles, Lakehouse Architecture, Workspace Management, Cluster Configuration, MLflow Integrat
  • Experience building and optimizing data pipelines for ingestion, transformation, and analytics
  • Experience with data validations, reconciliation, and quality checks
  • CI/CD pipelines, version control (Git), and testing frameworks
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Software engineering fundamentals: clean code, modular design, debugging, logging, exception handling
  • Agile delivery and sprint planning
  • Code reviews and mentoring junior engineers
  • Understanding of system design and scalability
  • 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

Frequently Asked Questions

How to apply for Senior Data Engineer at Computomic?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

4+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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Computomic

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Senior Data Engineer

Computomic · Bangalore Bazaar

Apply on Company Website