Data Engineer | Azure + Databricks

4 days ago

Bangalore, India Xebia Full time

Job Opportunity – Data Engineer | Azure + Databricks

Location: Bangalore (Whitefield) | Hybrid (3 days office/week)

Experience: 6+ years

Notice Period: Immediate to 2 weeks – only apply if you can join early

About the Role:

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 .

Key Responsibilities:

  • 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 .

Required Skills:

  • 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.

Nice to Have:

  • Awareness of data governance, compliance & security in hybrid environments.
  • Familiarity with data governance frameworks & best practices .

Interested candidates, please share your details at with the following:

  • Total Experience
  • Relevant Experience
  • Current CTC
  • Expected CTC
  • Notice Period ( Immediate to 2 weeks only )
  • Current Location
  • Preferred Location
  • LinkedIn Profile URL

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