Required Technical and Skilled Experience

- 10+ years of experience in Data Engineering and Data Warehouse environments.
- Strong hands-on expertise in Oracle, SQL, ODI, and SAP BODS.
- Experience supporting Risk & Regulatory Reporting platforms in Banking and Financial Services.
- Good understanding of RFO Master and Satellite data models.
- Proven experience in production support, incident management, and data operations.
- Experienced Data Engineer with expertise in Data Warehousing, ETL/ELT Development, Data Integration, Data Modeling, and Data Quality & Reconciliation. Strong technical proficiency in Dataiku, SQL/PLSQL, ODI, Python, Oracle, Unix/Linux, and TWS, with extensive experience in Banking & Regulatory domains including Risk Data Management, Regulatory Reporting, Data Governance, and Financial Reporting. Familiar with AWS/Azure Cloud, Power BI, MicroStrategy, Business Objects, Jira, ServiceNow, Git, and DevOps practices.

Preferred Technical and Professional Experience
- Ability to work with global stakeholders across Business, Risk, Finance, and Technology teams.
- Strong analytical, troubleshooting, and communication skills.
- Experience leading offshore/onshore delivery teams is highly desirable.

Key Responsibilities

Data Engineering & Data Integration

- Design, develop, and support scalable data engineering solutions for enterprise data platforms.
- Build and maintain ETL/ELT processes, Data IKU, and Oracle Data Integrator (ODI).
- Develop robust data pipelines for ingestion, transformation, validation, and reporting.
- Ensure data quality, reconciliation, lineage, and governance across data ecosystems.
- Optimize data processing jobs for performance, scalability, and reliability.

Oracle & SQL Development

- Design and develop complex Oracle database solutions.




- Create and optimize SQL/PLSQL queries, stored procedures, functions, packages, and performance tuning solutions.
- Analyze and resolve database performance bottlenecks.
- Support data extraction, transformation, and reporting initiatives.

Data Warehouse & RFO Framework

- Work with RFO Master and Satellite data models.
- Design and enhance Master Data and Satellite layer integrations.
- Ensure consistency, quality, and governance of risk and finance data.
- Support enterprise data warehouse modernization and optimization initiatives.

Production Support & Operations

- Provide L2/L3 production support for critical data platforms.
- Investigate batch failures, data issues, and reporting discrepancies.
- Perform Root Cause Analysis (RCA) and implement preventive actions.
- Ensure adherence to SLAs and operational KPIs.
- Participate in incident, problem, and change management processes.

Automation & Scheduling

- Develop automation solutions using Python and Shell Scripting.
- Support workload automation and batch scheduling tools.
- Automate data validation, reconciliation, monitoring, and operational reporting processes.

Stakeholder Management

- Partner with Business, Risk, Finance, Regulatory, and Technology teams.
- Translate business requirements into technical data solutions.
- Participate in architecture discussions and solution design workshops.
- Provide technical leadership and mentoring to junior team members.
- Support enterprise Risk and Regulatory Reporting platforms.
- Develop and maintain reporting solutions aligned with regulatory requirements.
- Collaborate with Risk, Finance, Compliance, and Business stakeholders.
- Ensure regulatory reporting data accuracy, completeness, and audit readiness.
- Support data validation, reconciliation, and regulatory submissions.

📌 Lead-Data Engineer (Bengaluru)
🏢 Kyndryl
📍 Bengaluru