Role & responsibilities :

- Support implementation of the Enterprise Data Warehouse and Information Management roadmap.

- Participate in data modernization, platform enhancement, and automation initiatives.

- Evaluate opportunities to improve data architecture, processing efficiency, and system scalability.

- Contribute to technical design discussions and data solution architecture reviews.

- Support migration and integration initiatives involving cloud, big data, and enterprise platforms.

- Adhere to enterprise data management policies, development standards, and governance frameworks.

- Ensure compliance with regulatory, audit, information security, and data governance requirements.

- Maintain technical documentation, data dictionaries, mapping documents, and operational procedures.

- Participate in code reviews, release management, deployment validation, and production support activities.

- Support implementation of best practices for development, testing, monitoring, and operational support.

- Design, develop, and maintain ETL/ELT processes, data pipelines, and integration workflows.

- Build and optimize data warehouse components, data marts, and reporting data structures.

- Develop and maintain Oracle SQL, PL/SQL, and Hadoop-based solutions for enterprise data platforms.

- Ensure accurate and timely ingestion, transformation, reconciliation, and delivery of data.

- Perform root-cause analysis and resolution of data, application, and platform issues.

- Drive automation of recurring data processing and reporting activities.

- Support implementation of cloud-based and next-generation data platform capabilities.

- Ensure platform availability, reliability, performance, and scalability.

- Monitor ETL jobs, batch processes, interfaces, and platform health indicators.

- Track data quality metrics, SLA adherence, processing efficiency, and system performance.

- Investigate processing failures, data discrepancies, and performance bottlenecks.





- Provide regular updates on delivery progress, issues, and remediation actions.

- Support preparation of operational dashboards and management reports.

- Collaborate with Business, Analytics, Regulatory Reporting, Risk, Finance, Operations, and Technology teams.

- Gather and analyze functional requirements and translate them into technical solutions.

- Work closely with Data Governance teams to ensure consistent data definitions and controls.

- Coordinate with Infrastructure, Application Support, and Vendor teams for issue resolution.

- Provide technical support during user testing, implementation, and production deployments.

- Execute maker-checker-reviewer controls development and production support activities.

- Perform reconciliation, validation, and quality checks to ensure data accuracy and completeness.

- Identify and escalate risks relating to data quality, processing failures, security, and operational controls.

- Support audit reviews, control testing, and regulatory submissions.

- Ensure compliance with Information Security, Data Governance, and Regulatory Reporting policies.

Preferred candidate profile

- Bachelors degree in computer science, Engineering, Information Technology, Mathematics, Statistics, Data Science, or related discipline. Postgraduate qualifications in Technology, Data Management, Analytics, or Information Systems will be an added advantage.

- Relevant certifications in Oracle, SQL, Hadoop, Cloud Platforms (Azure/AWS/GCP), Data Engineering, or ETL Technologies are preferred.

- 5+ years of experience in Data Warehousing, Data Engineering, Database Development, Big Data Technologies, or Information Management.

- Experience supporting regulatory reporting, MIS, analytics, and enterprise reporting environments.

- Exposure to cloud data platforms, data lakes, and contemporary data architectures is preferred.

- Strong understanding of banking data domains, customer data, transaction data, risk data, and reporting structures.

📌 Team Member - Data Warehouse (Mumbai)
🏢 SKILLVENTORY
📍 Mumbai