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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain production-grade data pipelines on Databricks using Python (PySpark) and SQL with a focus on data quality, consistency, and scalability.
Deploy changes through CI/CD pipelines and support operational health by monitoring, alerting, and incident management of business-critical data workloads.
Collaborate with Reporting, Visualization, Platform, and Business teams delivering curated datasets and documenting workflows and standards for knowledge continuity.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent relevant experience.
4+ years of experience in data engineering with hands-on work on Databricks, Python (PySpark), and SQL.
Experience designing and delivering production data pipelines (ETL/ELT) and working knowledge of CI/CD pipelines and Git-based branching.
Experience supporting production data pipelines including monitoring, alerting, and incident response; familiarity with cloud platforms (AWS preferred).
Ideal Candidate Profile
Experienced data engineer comfortable working independently on defined tasks with guidance towards broader ownership.
Strong hands-on engineering skills with attention to pipeline quality and operational stability in enterprise-scale environments.
Capable of effectively collaborating across engineering and business teams, clearly communicating technical details and documenting standards.