Databricks data engineer

4 weeks ago

Pune, India Ascendion Full time

Job Title: Senior Data Engineer Experience : 3+ years Location: Gurgaon /Pune / Bangalore Skills: Py Spark, 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 Py Spark 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 (Py Spark 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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