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+ yearsNotice Period: Immediate to 2 weeks – only apply if you can join earlyAbout 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 LocationLinkedIn Profile URL

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