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High due to strong employer brand, common Data Engineer title, mid-level experience band, and Bengaluru location.
Low because Databricks, PySpark, SQL, and CI/CD skills are highly transferable across industries.
High because 4+ years plus mandatory Databricks/PySpark, CI/CD, and production-support skills are required.
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Design, build, and maintain production-grade data pipelines on Databricks, focusing on ETL/ELT processes with data quality and scalability.
Deploy data pipeline changes via CI/CD and manage operational health including monitoring, alerting, and incident response for critical data workloads.
Collaborate with cross-functional teams to deliver curated datasets for analytics while documenting workflows and contributing to engineering standards.
Bachelor's or Master's degree in Computer Science, IT, or equivalent experience.
Minimum 4 years of data engineering experience including design and delivery of production data pipelines.
Hands-on with Databricks, Python (PySpark), SQL, and CI/CD pipelines; familiarity with cloud platforms (AWS preferred).
Experience supporting production data pipelines with monitoring, alerting, incident response; good communication skills required.
Operates with strong ownership of data pipeline quality and production support, emphasizing permanent fixes and automation.
Experienced in end-to-end pipeline engineering including development, deployment, and operational monitoring in a cloud environment.
Comfortable collaborating across engineering and business teams, with the ability to document and communicate technical concepts clearly.