Databricks Data Engineer

3 weeks ago

Pune, Maharashtra, India Ascendion Full time
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)

• Proficiency 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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