Our client is looking for a Data Engineer to join their team.

Duration - 4 months

Location - Hybrid (3 days onsite)

Responsibilities

The main function of the Data Engineer is to develop, evaluate, test, and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.

Job Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Design, implement, automate, and maintain large scale enterprise data ETL processes.
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
• Build, test, and maintain batch ETL pipelines for assigned datasets, following existing team patterns and standards.
• Implement changes to existing pipelines and tables in response to defined requirements, including backfills and schema updates.
• Write and optimize SQL for large-scale datasets; investigate and fix data quality issues raised through monitoring or stakeholder reports.
• Add and maintain data quality checks, tests, and documentation for the pipelines in scope.
• Produce prototypes and exploratory analyses where requested, with direction from the FTE owner on scope and success criteria.
• Participate in code review and follow team conventions for version control, deployment, and change management.