Senior Data Engineer

• Supporting Business Execution activities Chief Operating Office, implement data engineering solutions to manage banking operations
• Establish monitoring routines, scorecards and escalation workflows
• Oversee the Data Strategy, Smart Automation, Insight Generation, Data Quality and Reporting activities
• Interface between business and technology partners for digitizing data collection
• Build Data Strategy by identifying all relevant product processors, create Data Lake, Data Pipeline, Governance & Reporting
• Communicate findings and recommendations to senior management
• Setup a governance operating framework to enable operationalization of data domains
• Work with large and complex data sets (both internal and external data)
• Develop and execute the analytics strategy – Data Ingestion, Reporting / Insights Centralization
• Ensure consistency, lineage tracking, and audit readiness across legal reporting

• 5+ years of experience in Business Transformation Solution Design roles with proficiency in tools/technologies like Python, PySpark, Tableau, MicroStrategy, SQL etc.
• Strong understanding of Data Transformation – Data Strategy, Data Architecture, Data Tracing & Lineage
• Conceptual, logical, and physical data modeling expertise
• Database Management & Optimization
• Solution Architect with proven ability to translate complex data flows into automated & optimized solutions
• Experience in Developing and Deploying AI solutions in partnership with Tech and Business
• Experience with any banking operations
• Knowledge of regulatory requirements related to data privacy and security
• AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or credit/risk analysis
• Bachelors/University degree in STEM, Master’s degree preferred

MicroStrategy, Python (Programming Language), Structured Query Language (SQL), Tableau (Software)