Design, build, and maintain batch and near-real-time data pipelines supporting analytics and reporting use cases
Collaborate with Data Architects, Product Managers, Analysts, and Data Scientists to support analytics and ML initiatives
Ensure data quality, reliability, and performance across data pipelines and platforms
Troubleshoot data issues and support production data pipelines as needed

Requirements

4+ years of relevant experience
Proficiency in SQL and Python
Strong hands-on experience building and supporting data pipelines in enterprise environments
Familiarity with cloud platforms (Azure preferred)
Understanding of data modeling, ETL/ELT patterns, and analytics enablement
Ability to work independently on complex tasks with minimal supervision

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata pipelinesETLELTdata modelinganalytics enablementdata qualitydata reliabilitydata performance

Soft Skills

collaborationtroubleshootingindependenceproblem-solving