Sr. Software Engineer - Databricks
YASH Technologies (company site, opens in a new tab)4–6 yrsPuneOn-siteDirect career pageEst. 10–18 LPA
Posted 19d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and ELT/ETL workflows using AWS, Databricks, dbt, Spark, Python, and SQL.
- Develop reliable data products and implement data transformation and modeling solutions aligned with Medallion Architecture to support reporting and analytics.
- Perform data validation, quality monitoring, troubleshoot pipeline issues, and collaborate with business and engineering teams to deliver scalable, governed data solutions.
Minimum Requirements
- 4+ years of experience as a Data Engineer.
- Strong proficiency in SQL, Python, Apache Spark, Databricks, and dbt for data pipeline and transformation development.
- Understanding of data warehousing concepts including dimensional modeling and Medallion Architecture.
- Experience with AI-assisted development tools and practices, data quality, metadata management, governance, and operational monitoring.
Ideal Candidate Profile
- Experienced working in scalable, enterprise-grade cloud-native data engineering environments, preferably AWS.
- Familiarity with building trusted datasets supporting BI/reporting tools like Power BI, and knowledge of modern data platform design.
- Comfortable collaborating across business, analytics, and engineering teams within global and Agile product team settings.