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 productive 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.

📌 airisData - Data Operations Lead (India)
🏢 Pmr Softtech
📍 India