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.
