SQL Server Data Engineer

Experience: 7–10 years in SQL Server and relational database design for OLTP

Jd

Design SQL Server transactional data systems and real-time or near-real-time pipelines. Build API-driven data flows, optimize schemas and stored procedures, preserve transactional integrity, troubleshoot concurrency issues and support Azure-based data services and occasional integrations.

Key Responsibilities

• Design, build, and maintain OLTP pipelines for real-time or near-real-time transactional data processing.
• Build and consume APIs to handle data ingestion, updates, and retrieval from operational systems.
• Design SQL Server database schemas optimized for transactional workloads — normalization, indexing, concurrency control, and locking behavior.
• Write and optimize SQL queries, stored procedures, and transaction logic for high-throughput, low-latency operations.
• Ensure data consistency, atomicity, and integrity (ACID compliance) across services.
• Develop ETL processes as needed to support data migration, system integration, or occasional batch sync between transactional systems.
• Handle API request/response cycles: validation, error handling, retries, and rate limiting on data-write operations.
• Monitor system performance, diagnose issues (deadlocks, query latency, contention), and tune for scale.
• Deploy and manage data services using Azure (Azure SQL Database, API Management, Azure Blob).
• Use SSIS (SQL Server Integration Services) for occasional data migration or integration tasks.
• Collaborate with backend engineers to integrate data layers into application services.
• Implement validation, idempotency checks, and integrity constraints at the transactional level.
• Create and maintain documentation for system architecture, API contracts, and database schemas.