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Data Ops Technical Specialist
India | Chennai | Contract | Salary: TBD

Company EnDemand IT
Industry IT Services and IT Consulting
Job Function Data Analysis
Experience Relevant experience
Education Bachelors
Post Date 2026-03-04
Job Expiry 2026-04-03
Job ID 21050

Desired Qualifications: Bachelor’s degree in Computer Science

Experience: 4+ Years

Number of positions: 03

Contractual duration : 6 months


Key Roles & Responsibilities:

- System Monitoring: Continuously monitor ETL jobs, workflows, and data pipelines for performance and reliability.

- Job Scheduling: Ensure jobs are scheduled appropriately and are running as per the defined schedules.

- Issue Resolution: Troubleshoot and resolve issues related to data integration, ETL jobs, and workflows promptly.

- Root Cause Analysis: Perform root cause analysis for recurring issues and implement preventive measures.

- Tuning: Optimize ETL jobs and workflows for better performance and efficiency.

- Resource Management: Ensure optimal use of system resources like CPU, memory, and storage.

- Data Validation: Ensure data accuracy, completeness, and consistency across different systems.

- Error Handling: Implement robust error handling and recovery mechanisms in ETL processes.

- Data Reconciliation: Perform data reconciliation to verify that the data loaded into the target systems matches the source data.

- Code Deployment: Deploy ETL code and configurations to production environments following change management procedures.

- Automation: Develop scripts and automation tools to streamline routine tasks and processes.

- Cross-Functional Teams: Work closely with development teams, DBAs, system administrators, and business users to resolve issues and implement changes.

- Status Reporting: Provide regular updates and reports on system status, performance, and incidents to stakeholders.

- Documentation: Maintain up-to-date documentation for ETL jobs, workflows, processes, and standard operating procedures.

Technical Requirements:

- Advanced working skills and knowledge with both RDBMS and SQL, with established command and working with a variety of databases (both SQL and NoSQL).

- Experience building and optimizing ‘big data’ data pipelines architectures and data sets; both batch-oriented and real time.

- Extensive experience working with Big Data tools and building data solutions for advanced analytics eg Cloudera, Big query, Data proc etc.

- Practical knowledge across ETL tools (Informatica, Talend) as well as more recent big data tools,

- Experience with the following tools and technologies:


If you are interested in this opportunity, please send your resume ensuring the position name is included in the subject line. Additionally, please provide the following information:

Ps: candidates who can join on an immediate basis will be highly considerable.


💼 Relevant years of experience: -

📍 Current location: -

💰 Current Salary: -

💰 Expected Salary: -

📆 Notice period: -

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