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Databricks Data Engineer

Databricks Data Engineer

AscendionPune, Maharashtra, India
30+ days ago
Job description

Job Title : Senior Data Engineer

Experience : 3+ years

Location : Gurgaon / Pune / Bangalore

Skills : PySpark, SQL, Databricks, AWS.

Role Summary :

We are looking for 3–4 experienced Databricks Developers to support a fast-paced, high-impact data engineering initiative. The ideal candidates should have hands-on expertise in building scalable data pipelines using Databricks and AWS, along with strong SQL and Python skills.

Required Skill Set :

  • 3–4 years of experience in Data Engineering
  • Strong hands-on experience with Databricks (Notebooks, Jobs, Workflows)
  • P roficiency in PySpark and SQL
  • Familiarity with AWS services (S3, Glue, Lambda, etc.)
  • Experience with CI / CD tools and version control (e.g., Git)
  • Good understanding of Delta Lake and performance tuning

Key Responsibilities :

  • Design and develop robust ETL pipelines using Databricks (PySpark or SQL)
  • Work with large-scale datasets in cloud environments (preferably AWS)
  • Optimize data pipelines for performance and cost efficiency
  • Integrate data from multiple structured and unstructured sources
  • Collaborate with data architects, analysts, and business stakeholders to understand requirements
  • Implement data validation and quality checks
  • Maintain proper documentation and version control for data workflows
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    Data Engineer • Pune, Maharashtra, India

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