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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