
Data Engineer | Azure + Databricks
3 days ago
Bangalore (Whitefield) | Hybrid (3 days office/week)
Experience: 6+ years
Immediate to 2 weeks – only apply if you can join early
We are looking for a skilled Data Engineer to join our team, working on end-to-end data engineering and data science use cases . The ideal candidate will have strong expertise in Python or Scala, Spark (Databricks), and SQL , building scalable and efficient data pipelines on Azure .
Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Spark .
Develop & optimize data workflows with SQL + Python/Scala for large-scale processing & transformation.
Implement performance tuning & optimization strategies for pipelines and Spark jobs.
Collaborate with data engineers to support feature engineering, model deployment, and end-to-end workflows .
Partner with cross-functional teams to understand requirements & deliver high-quality solutions .
Ensure data quality & integrity with validation, monitoring, and error-handling.
Work with structured & unstructured data using Delta Lake, Parquet, and Big Data ecosystems .
Azure Data Platform expertise (Data Factory, Databricks, ADLS, Blob Storage).
Strong SQL and Python or Scala for data manipulation.
Proven experience with ETL/ELT pipelines, transformations & orchestration .
Familiarity with Big Data tech (Spark, Delta Lake, Parquet).
Strong background in pipeline optimization & performance tuning .
Hands-on with feature engineering & model deployment .
Knowledge of CI/CD practices in data engineering.
Excellent problem-solving & troubleshooting skills with focus on data validation & quality.
Awareness of data governance, compliance & security in hybrid environments.
Familiarity with data governance frameworks & best practices .
#Total Experience
Relevant Experience
Notice Period ( Immediate to 2 weeks only )
LinkedIn Profile URL
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