🗄️ Senior SQL Database Developer – Cloud Data & Backend Engineering
📍 Location: Full-Time, ONSITE at Kolkata, Salt Lake Sector-V, Merlin Infinite
📍 Timing: US (EST) Shift, 5 PM – 2 AM
🎓 Education: Tier-1 Engineering or Technical Institutes
Join our Cloud-Native Backend & Data Engineering Team
We’re looking for a seasoned SQL Database Developer with deep expertise in designing, optimizing, and maintaining large-scale, cloud-integrated databases. If you have a strong grasp of relational modelling, query performance, and enjoy working in a high-scale cloud environment, this is a unique opportunity to shape data flows in a modern MarTech platform.
What You'll Work On
- Design and develop robust SQL Server / Azure SQL databases to support high-volume transactional systems
- Write complex T-SQL stored procedures, functions, triggers, and views with a focus on performance and scalability
- Collaborate with backend engineers (.NET, Node.js) to build efficient data-driven APIs
- Monitor and optimize query execution plans, indexes, partitions, and resource consumption
- Implement and maintain ETL/ELT pipelines for moving and transforming data across systems
- Work closely with data engineers and analysts on data integration, reporting, and analytics workflows
- Integrate and manage data flows via Azure services such as Azure Synapse Analytics, Azure Data Factory, and Data Lake
- Ensure data security, consistency, and availability in multi-environment deployments
- Participate in database version control, automated deployment, and CI/CD pipelines
What Sets This Role Apart
- Cloud-Scale Data Engineering: Design for the Azure ecosystem from day one
- High-Volume, Real-Time Systems: Work on systems where performance matters
- Cross-Functional Collaboration: Shape how data interacts across backend, analytics, and frontend
- Enterprise Impact: Support mission-critical data infrastructure powering global SaaS platforms
- Long-Term Data Ownership: You’re not just writing queries — you’re architecting data for scale and change
What You Bring
- 7–10 years of hands-on experience in SQL Server / Azure SQL development and performance tuning … MUST
- Deep expertise in relational data modelling, normalization, and complex T-SQL scripting … MUST
- Strong knowledge of indexing strategies, query optimization, and troubleshooting slow queries … MUST
- Proven experience working with Azure SQL, Azure Synapse Analytics, Data Factory, or equivalent services … MUST
- Experience designing and supporting ETL/ELT processes for both OLTP and analytical workloads … MUST
- Familiarity with SSIS, Power BI, or Azure Data Lake is a plus
- Understanding of data governance, security practices, and backup strategies … MUST
- Experience with version-controlled database development, CI/CD tools, and scripting in deployment pipelines
- Bonus: Exposure to NoSQL, Big Data, or streaming data platforms like Kafka or Event Hub