Sr. Software Engineer - Databricks
YASH TechnologiesMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Databricks role in metro Pune with common skillset and moderate employer brand drives medium competition.
Core data engineering skills transfer across industries, though Databricks/dbt specialization adds some domain bias.
Explicit 4-6 years and mandatory Databricks, Spark, dbt, Python, SQL skills make filters stringent.
Job Description
Structured overview of role & requirementsAbout 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.