Data Engineer and Compliance lead - VP- PUNE

The Data Engineering Technology Lead position is a senior role responsible for establishing and implementing new or revised data platform ecosystems and programs in coordination with the Technology team. Your primary objective is to lead the data engineering team in implementing business requirements. Your responsibilities will include designing, building, and maintaining batch or real-time data pipelines in the data platform, as well as optimizing the data infrastructure for accurate extraction, transformation, and loading of data from various sources. You will develop ETL processes to extract and manipulate data, automate data workflows, and prepare data in Data Warehouses for stakeholders. Collaboration with data scientists and functional leaders to deploy machine learning models and building data products for analytics teams will be essential. Ensuring data accuracy, integrity, privacy, security, and compliance through quality control procedures, monitoring data system performance, and implementing optimization strategies are also part of your role. You will partner with management teams to integrate functions, identify necessary system enhancements, and resolve high impact problems. In addition, you will provide expertise in applications programming, ensure application design aligns with architecture, and develop knowledge of integrating business areas to accomplish goals. Qualifications for this position include 12+ years of experience in a data engineering role, problem-solving skills, leadership abilities, service orientation, and the ability to work in a fast-paced environment. Proficiency in technical tools, interpersonal skills, and a Bachelor's/University degree (Master's preferred) are also required. The position encompasses two key responsibilities: 1. Data Engineering: - Building Data Pipelines: Creating systems for collecting, storing, and transforming data from various sources. - Data Collection and Management: Gathering data, ensuring quality, and making it accessible for analysis. - Data Transformation: Converting raw data into usable formats using ETL processes for analysis and reporting. 2. Data Governance and Compliance: - Documentation Data Lineage: Documenting data requirements for data governance within Citi Information Security Office. - Data Models and Flow Diagrams: Implementing data flow diagrams to understand data movement and conducting gap analysis for remediation. - Data Models Understanding: Translating business needs into logical and physical data models to ensure data integrity and consistency. - Data Analysis and Profiling: Analyzing data sources, identifying data issues, and ensuring data quality. This role falls under the Technology job family group and Applications Support job family, and it is a full-time position at Citi. If you need accommodations due to disability, refer to the Accessibility at Citi policy. Review Citis EEO Policy Statement and the Know Your Rights poster for further information.,