3 days ago
Pune, India or Chennai, IndiaSenior / Staff+
Responsibilities
- Design, develop, maintain, debug, and performance-tune complex ETL and data engineering pipelines using Apache Spark.
- Participate in feasibility studies, estimates, planning, risk assessment, analysis, design, construction, testing, implementation, and operational support.
- Develop scalable and maintainable solutions using Java or Python and support automated build, testing, deployment, and release processes.
- Use enterprise job scheduling and workload orchestration tools such as Autosys.
- Implement data governance practices covering data lineage harvesting, metadata management, data quality, and enterprise data catalog solutions.
- Collaborate with business stakeholders, architects, and upstream and downstream technology teams.
- Analyze complex application and business-process issues, recommend programming solutions, and drive issues to closure.
- Establish operating standards and procedures, assess technology risk, and support regulatory compliance.
- Serve as a subject matter expert, advisor, and coach to senior stakeholders and lower-level analysts.
Requirements
- 9–12 years of hands-on experience designing, developing, and maintaining complex ETL or data engineering pipelines in large-scale enterprise environments.
- Strong Apache Spark expertise, including debugging and performance tuning for complex data processing and ETL workloads.
- Solid understanding of finance data domains, including financial products, reporting, and data lineage; finance or banking experience is highly preferred.
- Experience with Test-Driven Development using Java or Python.
- Knowledge of CI/CD practices and tools for automated build, testing, deployment, and release management.
- Hands-on experience with Autosys or an equivalent enterprise workload orchestration platform.
- Expertise in data governance, data lineage harvesting, metadata management, and enterprise data catalog implementation.
- Bachelor’s degree or equivalent experience.
- Strong analytical, problem-solving, troubleshooting, collaboration, and stakeholder-management skills.
Benefits
- Full-time position.
- Citi is an equal opportunity employer and provides consideration without regard to legally protected characteristics.
Tech Stack
Categories
Data Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.