Lead Data Engineer (Big Data , AI , Snowflake and Databricks)-Assistant Vice President

Citi — Pune Maharashtra India

: • Helps to define and ongoing management of target data architecture for risk information. • Liaises with other Citi risk organizations to identify and maintain appropriate alignment, specifically with Citi Data Standards. • Works in conjunction with information owners and technology partners to define and implement the roadmap. • Prepares materials for Monthly Operating Reviews (MORs), Portfolio Reviews, Horizontal meetings, Town Halls and Staff Meetings. • Performs analysis of DQ issues and deliver metrics reporting. • Supports Managers with status reports and presentation content. Guide data analysis and reporting processes that include collection from multiple sources, validation of data and assembly and presentation of required data. • Develops new data collection and evaluation methodologies, including format design, data compilation, relevancy and metrics. • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. • Integrates in-depth data analysis knowledge with a solid understanding of industry standards and practices. • Demonstrates a Good understanding of how data analytics teams and area integrate with others in accomplishing objectives. • Applies project management skills. • Applies analytical thinking and knowledge of data analysis tools and methodologies. • Establish and create data pipelines for retention, cleanup, persistence, and maintenance of data on NoSQL datastores. • Implement data consistency checks and rules to ensure data meets business standards and needs. • Optimize data engineering pipelines and queries to ensure efficiency, reliability and scalability of data processi

View on HireSetu