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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.