Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level Databricks data engineer in Bengaluru with popular title and metro location increases candidate competition.
Requires specific Databricks and Azure lakehouse expertise, making skills somewhat less transferable across unrelated industries.
Explicit 5–8 years plus mandatory Databricks, Spark, Unity Catalog and Delta Lake experience tightens shortlisting.
Design, build, and maintain scalable ETL/ELT pipelines on Azure Databricks using medallion architecture ensuring reliable, performant, and timely data delivery.
Develop and govern data assets with Unity Catalog, implement data-quality and operational metadata measures for auditability and observability.
Enable cross-cloud data sharing and prepare analytics- and AI-ready datasets supporting AI/ML initiatives and business analytics consumption.
Bachelor’s degree in IT, Computer Science, Data Science, Analytics, or Statistics required.
5-8 years of hands-on data engineering experience, including substantial work with Azure Databricks.
Strong expertise in Spark/PySpark, SQL, building medallion pipelines on Delta Lake, and Unity Catalog governance.
Experience with cloud data ecosystems integration (AWS, GCP, Snowflake, Redshift, BigQuery) and data orchestration, CI/CD in Databricks environments.
Experienced working independently in complex enterprise-scale data engineering environments using Azure Databricks.
Strong focus on data governance, pipeline observability, and enabling AI/ML-ready data solutions within lakehouse architectures.
Experienced in cross-cloud data migration/sharing and delivering curated datasets for BI tools like Power BI or Tableau.