Job Title: Data Ops Technical Specialist

Location: Chennai, India (Onsite)
Duration: 6 Months Contract - Extendable
Experience: 5+ Years

Role Summary

We are seeking a Data Ops Technical Specialist to support and operate enterprise-scale data platforms and ETL ecosystems. The role focuses on monitoring, scheduling, troubleshooting, optimizing, and supporting data pipelines across batch and real-time environments. You will work closely with engineering, DBA, infrastructure, and business teams to ensure reliable and high-performing data operations.

Key Roles & Responsibilities

- Continuously monitor ETL jobs, workflows, and data pipelines to ensure performance, availability, and reliability.

- Manage and validate job scheduling, ensuring all data processes run as per defined SLAs.

- Troubleshoot and resolve issues related to ETL jobs, data integration, and workflows in a timely manner.

- Perform root cause analysis (RCA) for recurring incidents and implement preventive and corrective actions.

- Tune and optimize ETL jobs and workflows for performance, scalability, and efficiency.

- Monitor and manage system resources including CPU, memory, and storage utilization.

- Ensure data accuracy, completeness, and consistency through validation and quality checks.

- Implement and manage error handling and recovery mechanisms within ETL processes.

- Perform data reconciliation to ensure source and target data consistency.

- Deploy ETL code, configurations, and workflow changes into production following change management procedures.

- Develop automation scripts and tools to reduce manual effort and improve operational efficiency.





- Collaborate with development teams, DBAs, system administrators, and business users to resolve issues and implement enhancements.

- Provide regular status reports on system health, performance metrics, and incidents to stakeholders.

- Maintain up-to-date documentation for ETL jobs, workflows, processes, and standard operating procedures (SOPs).

Technical Requirements

- Strong hands-on experience with RDBMS and SQL, working across multiple database technologies (SQL and NoSQL).

- Experience designing, building, and supporting big data pipelines for both batch and real-time processing.

- Hands-on experience with Big Data platforms and tools, including:

- Hadoop ecosystem

- Spark

- Kafka

- Cloudera

- Google BigQuery / Dataproc

- Informatica

- Practical experience with ETL tools such as Informatica and Talend, along with up-to-date big data processing tools.

- Experience with data pipeline/workflow orchestration and data quality tools.

- Knowledge of real-time data ingestion and streaming architectures.

- Proficiency in one or more programming languages: Python, Java, Scala, C++, or similar.

Qualifications

- Education: Bachelor’s degree in Computer Science, Engineering, or equivalent (Master’s degree preferred).

- Experience: 3–5 years of experience in Data Engineering, Data Operations, or Data Platform roles.

- Strong ability to work collaboratively with technical and business stakeholders.

- Excellent analytical, problem-solving, communication, and interpersonal skills.

- Ability to work in a fast-paced, operationally intensive environment.

📌 Data Ops Specialist (Chennai)
🏢 Important Business
📍 Chennai