Senior Data Engineer

6 - 11 years

15 - 25 Lacs

Navi mumbai Pune

Posted:1 week ago

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Job Description

Dear Candidates,

Eclerx is Hiring Senior Data Engineers (Databricks / Snowflake)

We are looking for experienced Senior Data Engineers with strong expertise in Databricks or Snowflake.

Job Details:

  • Company:

    eClerx
  • Position:

    Senior Data Engineer
  • Technology:

    Databricks or Snowflake
  • Experience:

    Minimum 5 years of relevant Data Engineering experience
  • Locations:

    • Airoli, Navi Mumbai
    • Hinjewadi Phase 2, Pune
  • Work Mode:

    Hybrid (3 days working from the office)
  • Notice Period:

    Immediate joiners to candidates available by 30 November 2026

Important Note:

Interested candidates who meet the above criteria are encouraged to apply. share resumes on Rucha.labhe.c@eclerx.com

Role & responsibilities

1. Lead the design and implementation of scalable Databricks Lakehouse data solutions supporting analytics and business applications.
2. Design and optimize high-volume batch and near-real-time data pipelines using PySpark, SQL, Python, Delta Lake, and Databricks workflows. 3. Design and develop end to end frameworks using patterns such as CDC, incremental processing, deduplication, SCD, and schema evolution. 4. Design data models and processing frameworks that provide reliable, performant, and reusable datasets for analytics and downstream applications. 5. Contribute to data governance, security, access control, and lineage using Databricks and Unity Catalog. 6. Drive engineering best practices including Git, code reviews, automated testing, CI/CD, documentation, and production support. 7. Collaborate with data architects, analysts, BI teams, data scientists, and business stakeholders to translate requirements into scalable data solutions. 8.Experience with Airflow or other modern orchestration tools. 9. Mentor intermediate engineers and provide technical guidance on data-engineering practices and platform capabilities.

Programming & Data Engineering

  • Experience with Databricks Lakeflow Pipelines, Lakeflow Connect, Auto Loader, or Structured Streaming. • Exposure to Terraform or infrastructure-as-code practices. • Experience with data observability, pipeline monitoring, and cloud cost/performance optimization. • Experience modernizing or migrating legacy ETL/data warehouse workloads to Databricks. • Exposure to Data Mesh, Data Products, or domain-oriented data architecture. • Exposure to Docker/Kubernetes or other cloud-native technologies.

    AI / GenAI

    • Experience designing data platforms or pipelines supporting ML/AI/GenAI workloads. • Experience using AI-powered development tools or GenAI coding assistants. • Exposure to Databricks AI/ML capabilities or equivalent cloud AI platforms

Warm Regards,

Rucha Labhe

Talent Acquisition | Mumbai
Email: Rucha.labhe.c@eclerx.com

Skills Required

Data Lake Senior Snowflake Bricks SQL AWS Data warehousing Data Bricks

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