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High competition due to Tier-1 brand, Bengaluru location, mid-level generalist data-engineer title, and common Databricks/PySpark skills.
Low — Databricks, PySpark, SQL, and production data pipeline skills transfer across industries.
Medium strictness due to explicit 4+ years requirement and mandated Databricks, PySpark, production support, and CI/CD skills.
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Design, build, and maintain production-grade data pipelines on Databricks to support enterprise business functions.
Deploy data pipeline changes via CI/CD pipelines and support operational health through monitoring, alerting, and incident response.
Contribute to engineering standards, documentation, and collaborate with cross-functional teams to deliver curated datasets for analytics.
Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent.
4+ years of experience in data engineering with hands-on skills in Databricks, Python (PySpark), and SQL.
Experience with designing and delivering production ETL/ELT data pipelines and working knowledge of CI/CD pipelines and Git.
Familiarity with cloud platforms (AWS preferred) and supporting production data pipelines including monitoring and incident response.
Operates with an ownership mindset, taking accountability for pipeline quality from development through production support.
Demonstrates problem-solving bias toward permanent fixes and automation in pipeline operations.
Experienced in collaborating with engineering and business teams across geographies to ensure quality data delivery and communication.