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Job Location: Bhagya Nagar
Job Detail:
- Client Service: Provide high-quality service to both external and internal clients by addressing inquiries, performing controls, data modeling, resolving problems, and mitigating risks.
- Data Verification: Perform daily verification checks to ensure data accuracy and availability within Service Level Agreements (SLAs).
- Issue Resolution: Investigate and troubleshoot data pipeline issues and feed processing exceptions, coordinating with Data Engineering Support, as necessary.
- Operational Efficiency: Maintain and optimize operational workflows, identifying and implementing opportunities for process improvements.
- Complex Issue Handling: Investigate and resolve complex data issues, performing ad-hoc analysis on large datasets under tight deadlines.
- Collaboration: Work closely with data engineers to enhance application logic and functionality in Azure Gen2 Data Lake, Data Factory, Data Bricks, and SQL Database environments.
- Data Knowledge: Maintain an understanding of the firm s operational data hubs and warehouse schemas.
- Project Participation: Represent the Data Team on cross-functional projects, ensuring data requirements and considerations are addressed.
- Communication: Utilize strong communication and problem-solving skills to resolve support issues promptly.
- On-call Responsibilities: Handle on-call duties as required to support data operations.
- Batch Processing: Monitor batch processes, manage alerts, and resolve abend issues efficiently.
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