🔹 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 Vijay.S@xebia.com with the following :
Total ExperienceRelevant ExperienceCurrent CTCExpected CTCNotice Period ( Immediate to 2 weeks only )Current LocationPreferred LocationProfile URL