Role & responsibilities :
Support implementation of the Enterprise Data Warehouse and Information Management roadmap.
Participate in data modernization, platform enhancement, and automation initiatives.
Evaluate prospects 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 o

📌 Team Member Mumbai
🏢 SKILLVENTORY
📍 Mumbai