Key Responsibilities :

- Lead and manage end-to-end data operations, ensuring high data quality, integrity, and availability.

- Design, develop, and optimize ETL/ELT pipelines for efficient data ingestion and transformation.

- Manage and maintain enterprise data warehouse solutions to support reporting and analytics.

- Write and optimize complex SQL queries for data extraction, validation, and performance tuning.

- Monitor data pipelines, troubleshoot issues, and ensure timely resolution of operational incidents.

- Establish data governance, validation, and quality assurance processes.

- Collaborate with Data Engineering, Analytics, Product, and Business teams to understand data requirements and deliver reliable solutions.

- Drive automation initiatives to improve operational efficiency and reduce manual intervention.

- Define and track operational KPIs, SLAs, and data quality metrics.

- Mentor junior team members and promote best practices in data operations and data management.

Required Qualifications :

- 7+ years of experience in Data Operations, Data Engineering, or related roles.

- Strong expertise in SQL with experience writing complex, high-performance queries.

- Hands-on experience designing and managing ETL/ELT pipelines.

- Strong understanding of Data Warehousing concepts, dimensional modeling, and data architecture.

- Experience working with large datasets and optimizing data processing workflows.

- Strong analytical, troubleshooting, and problem-solving skills.