The role involves gathering requirements, designing data pipelines, conducting testing, and supporting production workflows while ensuring data integrity.
The Impact:
- Actively participate in requirement gathering sessions, design discussions, and sprint planning to shape data engineering deliverables.
- Translate functional and technical requirements into scalable and efficient data pipeline solutions.
- Build and maintain robust data pipelines based on approved specifications, ensuring alignment with enterprise data standards.
- Conduct comprehensive testing (unit, integration, and regression) across development, QA, and UAT environments to ensure accuracy, data integrity, and performance.
- Analyze the downstream and upstream impact of proposed changes to ensure minimal disruption.
- Promote changes across environments and coordinate with teams to deploy and validate changes in lower and production environments.
- Respond quickly to mitigate any unanticipated issues arising from data changes or deployments.
- Monitor and support production data workflows, triage incidents, and resolve data issues within SLA timelines.
- Collaborate with developers, analysts, and business users to ensure continuous delivery and minimal downtime.
- Test and validate bug fixes and enhancements, ensuring all deliverables meet business needs and quality benchmarks before sign-off.
Top Skills
Data Engineering
Data Pipeline
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