Senior Associate, Data

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.