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Job Alert: Senior Data Engineer (4-6 Yrs) | Python, Spark, Snowflake Are you an experienced Data Engineer passionate about building and optimizing scalable data platforms We're looking for an independent problem-solver to join our team in Bangalore or Pune and deliver robust data solutions! Role Details Job Title: Data Engineer (Senior Level) Experience: 4-6 Years 1 Compensation: 20 LPA and above (Dependent on interview) Work Mode: Hybrid (3 Days from Office) Location: Bangalore / Pune 2 (Willingness to travel within India is required) 3 Key Responsibilities Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases4. Implement scalable data models, data warehouses/lakehouses, and data lakes5. Drive performance tuning, monitoring, and reliability of production data pipelines6666. Mentor junior engineers and participate in code/design reviews7. Must-Have Technical Expertise Programming: Strong skills in Python and advanced SQL expertise8. Distributed Processing: Experience with frameworks like Apache Spark, Flink, or similar 9. Orchestration: Experience building pipelines using tools like Airflow 10. Data Warehousing: Experience with Snowflake is preferred11. Fundamentals: Deep understanding of ETL/ELT, data modeling (OLTP & OLAP), and stream processing12. Process: Familiarity with CI/CD pipelines and version control tools like Git 13. Good to Have Experience working on any major cloud platform ( AWS preferred ; GCP or Azure welcome)14. Exposure to Databricks, dbt, or similar platforms15. Ready to architect scalable data solutions Apply now! Send your updated profile to: [HIDDEN TEXT] #DataEngineer #DataEngineering #Python #ApacheSpark #Snowflake #Airflow #BangaloreJobs #PuneJobs #Hiring #HybridWork
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