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Popular mid-level data engineering role in Bengaluru with common skillset and 4+ years, high applicant density.
Core skills (Databricks, PySpark, SQL, CI/CD) are highly transferable across industries.
Mandatory Databricks, PySpark, production pipeline experience and explicit 4+ years increases filtering stringency.
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Design, build, and maintain production-grade data pipelines on Databricks with high standards of data quality and scalability.
Deploy changes through CI/CD pipelines and support operational health including monitoring, alerting, and incident response of business-critical data workloads.
Collaborate with Reporting, Visualization, Platform, and Business teams to deliver curated datasets and document workflows and standards.
Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent relevant experience.
4+ years of experience in data engineering.
Hands-on experience with Databricks, Python (PySpark), SQL, and production ETL/ELT pipelines.
Working knowledge of CI/CD pipelines and Git-based branching strategies; familiarity with cloud platforms (AWS preferred).
Experienced data engineer with proven ability to independently deliver and support scalable data pipelines in production environments.
Operates with ownership mindset focusing on pipeline quality from build through production support and automation of recurring issues.
Effective communicator who can collaborate across technical and business teams and document technical workflows clearly.