Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration solutions with moderate independence.
Translate business requirements into technical designs and contribute to solution architecture discussions.
Build and enhance business-to-business (B2B) integrations and internal data processing workflows.
Diagnose and resolve data quality issues, pipeline failures, and performance bottlenecks; propose optimizations.
Develop clear documentation for data models, workflows, and engineering solutions.
Collaborate with cross-functional teams including data architects, analysts, application developers, and business stakeholders to ensure effective data delivery.
Contribute to project workstreams, ensuring tasks are delivered with quality and within timelines.
Adhere to and promote engineering best practices, coding standards, and data governance guidelines.

Requirements

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonJavaSQLETLELTdata integrationdata pipelinesdata qualityDatabricksAgile

Soft Skills

collaborationproblem-solvingcommunicationdocumentationproject managementindependenceattention to detailadaptabilitytime managementcritical thinking