Project Description:

We've been engaged by an Investment Banking client to work on Regulatory Reporting initiative in the Capital Risk portfolio.

Responsibilities:

- Develop, maintain, and optimize SQL queries for data extraction, transformation, validation, and analysis across large datasets.
- Design, monitor, and troubleshoot batch jobs and data processing workflows using job scheduling and monitoring tools, preferably Control-M.
- Manage daily production job schedules, monitor job execution, investigate failures, and ensure timely resolution to minimize operational impact.
- Work with Hadoop ecosystem technologies to process, analyze, and troubleshoot large volumes of structured and unstructured data.
- Perform data validation, reconciliation, and quality checks to ensure data accuracy, completeness, and consistency.
- Analyze data and operational issues,



identify root causes, and implement appropriate solutions to improve reliability and performance.

Mandatory Skills Description:

- 4 to 6 years of relevant experience in Data & Analytics.
- Hands-on experience in SQL, Job Scheduling and Monitoring Tool preferably Control M
- Good understanding and working experience in Hadoop.
- Robust analytical and problem-solving skills.
- Ability to work independently and collaborate effectively with cross-functional teams.

Nice-to-Have Skills Description:

- Experience of Agile/Scrum development methodologies is a plus
- Be nice, respectful, able to work in a team
- Willingness to learn

📌 Data Engineer - Hadoop+SQL (Chennai)
🏢 Luxoft
📍 Chennai