03 Aug
|
TekFriday Processing Solutions
|
Hyderabad
03 Aug
TekFriday Processing Solutions
Hyderabad
We are looking for a highly analytical and detail-oriented Data Operations Engineer to join our growing technology team. In this role, you will be responsible for ensuring the reliability, accuracy, and availability of business-critical data across our applications.
What you will do:
Develop, optimize, and maintain complex T-SQL queries, stored procedures, views, and functions.
Troubleshoot SQL Server performance issues and optimize slow-running queries.
Perform data validation, reconciliation, and integrity checks.
Execute controlled production data fixes and corrections.
Support database deployments and data migrations.
Monitor daily production data loads and scheduled jobs.
Investigate and resolve data discrepancies across systems.
Perform root cause analysis for production data issues.
Ensure business-critical data is accurate, complete, and available.
Monitor operational dashboards and proactively identify anomalies.
Validate data between source and target systems.
Identify duplicate, inconsistent, or missing records.
Implement data quality checks and exception reporting.
Ensure compliance with internal data standards.
Support production incidents related to SQL Server databases.
Troubleshoot application data issues within defined SLAs.
Coordinate with development teams to resolve defects.
Maintain incident documentation and post-resolution reports.
Automate repetitive SQL and operational tasks.
Build scripts using SQL Server Agent, PowerShell, or Python where applicable.
Improve operational efficiency by reducing manual intervention.
Develop reusable scripts for health checks and monitoring.
What we are looking for you:
1- 3 years of experience working with Microsoft SQL Server or as SQL Developer
Robust knowledge of T-SQL
Experience in SQL query optimization and performance tuning
Excellent analytical and problem-solving abilities
📌 Data Operations Engineer Hyderabad
🏢 TekFriday Processing Solutions
📍 Hyderabad