Senior Data Engineering- Java Spark
Citi (company site, opens in a new tab)9–12 yrsPuneOn-siteDirect career pageEst. 30–45 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain application and data-engineering solutions for business needs, including feasibility estimates and implementation of new or revised systems.
- Oversee development through analysis, design, testing, deployment, and operational support; troubleshoot complex issues and improve system performance and security.
- Advise stakeholders and junior analysts, while maintaining operating standards and managing technology, regulatory, and control risks.
Minimum Requirements
- Work Experience Required: 9–12 years of hands-on experience designing, developing, and maintaining complex ETL/data-engineering pipelines in large-scale enterprise environments.
- Strong Apache Spark expertise, including debugging and performance tuning; experience with TDD using Java or Python, CI/CD, and enterprise scheduling tools such as Autosys or equivalent.
- Experience in data governance, including lineage, metadata management, and enterprise data catalog solutions; understanding of finance data concepts is required in the recommended qualifications, while prior finance/banking experience is highly preferred.
- Bachelor’s degree or equivalent experience.
Ideal Candidate Profile
- Has operated complex, large-scale ETL pipelines and can own delivery and production support across the development lifecycle.
- Brings finance or banking domain experience and understands financial products, reporting, data lineage, data quality, and regulatory compliance.
- Can coordinate data changes across business stakeholders, architects, and upstream/downstream teams while addressing governance and operational issues.