Senior DevOps Engineer

• Design andmaintainSQL Server 2019+ schemas, indexes, and query patterns that meet performance, scalability, and concurrency requirements.

• Analyze execution plans,identifybottlenecks, and tune queries, indexes, and statistics; advise on RCSI and isolation level choices.

• Design andoperateChange Data Capture (CDC) pipelines and other change-tracking patterns to support downstream consumers.

Data Access & Application Integration:

• Implement and review data access using linq2db, LINQ-to-SQL (DBML), Entity Framework, and ADO.NET; choosethe right tool for each scenario.

• Translate business and application requirements into efficient SQL and C# data access code that is performant, testable, and maintainable.

• Partner with application engineers to align ORM usage with database performance characteristics and avoid common anti-patterns.

Cloud Data Platform & Delivery:

• Design andoperatedata solutions on Azure, including Azure SQL, storage, networking, and security configurations.

• Contribute to CI/CD for database changes through migration scripts, schema versioning, and automated deployments.

• Mentor engineersondatabase design, query optimization, and data accesspatterns;set standards for the team.

Qualifications:

• Bachelor's Degree in Computer Scienceor a related discipline, or equivalent experience; MUST be proficient in written and spoken English (85%).

• 5 to 8 years of professional data engineering or back-end engineering experience with a strong database focus.

Expert-level proficiency in SQL on SQL Server 2019+, including complex queries, window functions, set-based operations, query plan analysis, indexing strategy, statistics, RCSI, isolation levels, and Change Data Capture.

Expert-level proficiency in database performance tuning , including bottleneck identification, index design, query rewrites, and concurrency design under production load.

• Strongproficiencyin C# data access using linq2db, LINQ-to-SQL (DBML), Entity Framework, and ADO.NET; ability to choose theappropriate toolfor each scenario and avoid ORM performance pitfalls.

• Strongproficiencyin Python for data engineering tasks, scripting, and automation.

• Hands-on experience with Azure data services (Azure SQL, storage, networking, security) and deploying production data workloads in Azure.

• Experience with database CI/CD, schema versioning, and migration tooling.

• Solid Git, code review discipline, and familiarity with modern engineering practices including testing and observability.

• Experience with Azure Data Factory, Synapse, or other Azure analytics services is a plus.

• Experience designing event-driven or streaming data architectures is a plus.

• Excellent analytical and problem-solving skills;strong communication, collaboration, customer orientation, innovation mindset, and adaptability under ambiguity.

Originally posted on Himalayas

• Data Engineer
• Database Engineer
• Backend Engineer
• Azure Data Engineer

Source: Himalayas