Bigdata Backend Engineer
Citi (company site, opens in a new tab)6–8 yrsChennaiOn-siteDirect career pageEst. 18–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize enterprise-grade data reconciliation systems and automated control pipelines for financial transaction processing.
- Build and deploy complex multi-way matching algorithms, break classification models, and scalable data pipelines using Python, SQL, and Apache Spark/PySpark.
- Ensure reconciliation solutions comply with audit, risk, and regulatory controls, and liaise with stakeholders to resolve data issues and meet delivery milestones.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, Financial Technology, or related quantitative field.
- 6–8+ years of hands-on software development, data engineering, or reconciliation systems configuration experience in Financial Services / Capital Markets.
- Advanced proficiency in Python (Pandas, NumPy, PySpark), SQL (complex joins, CTEs, analytical functions), and experience with DevOps/containerization tools (Docker, Kubernetes/OpenShift).
- Work Experience Required: 6–8+ years as senior individual contributor delivering complex business-critical technical solutions independently.
Ideal Candidate Profile
- Experienced in end-to-end development and maintenance of high-throughput financial data pipelines and reconciliation engines in Capital Markets domain.
- Technical SME capable of translating business requirements into detailed technical designs and technical leadership of peers and stakeholders.
- Comfortable working autonomously with responsibility for compliance with audit and risk mandates while managing cross-team stakeholder communications and delivery.