Data Ops Capability Deployment - Analyst - AVP, C12 - Banking & International, Pune

The Data Ops Capability Deployment - Analyst role is a seasoned professional position that involves contributing to the development of new solutions, frameworks, and techniques for the Enterprise Data function. You will integrate subject matter and industry expertise within a defined area, requiring a deep understanding of how different areas collectively integrate within the sub-function. Your responsibilities will include coordinating and contributing to the objectives of the function and overall business, as well as performing data analytics and data analysis across various asset classes. Additionally, you will be responsible for building data science and tooling capabilities within the team by working closely with the wider Enterprise Data team. This role is part of the B & I Data Capabilities team within the Enterprise Data, where you will manage the Data quality, Metrics, and Controls program. You will also play a key role in implementing and embedding improved data governance and data management practices throughout the region. The Data quality program focuses on enhancing Citis approach to data risk and addressing regulatory commitments in this area. Key Responsibilities: - Hands-on experience with a data engineering background, including a thorough understanding of Distributed Data platforms and Cloud services. - Sound understanding of data architecture and data integration with enterprise applications. - Research and evaluate new data technologies, data mesh architecture, and self-service data platforms. - Collaborate with the Enterprise Architecture Team to define and refine the overall data strategy. - Address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities. - Perform complex data analytics on large complex datasets, including data cleansing, transformation, joins, and aggregation. - Build analytics dashboards and data science capabilities for Enterprise Data platforms. - Communicate complicated findings and propose solutions to various stakeholders. - Understand business and functional requirements provided by business analysts and convert them into technical design documents. - Work closely with cross-functional teams such as Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. - Prepare handover documents and manage SIT, UAT, and Implementation. - Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives, with a good understanding of the banking industry. - Perform other duties and functions as assigned. Skills & Qualifications: - 10+ years of active development background and experience in Financial Services or Finance IT is required. - Experience with Data Quality, Data Tracing, Data Lineage, and Metadata Management Tools. - Hands-on experience with ETL using PySpark on distributed platforms, data ingestion, Spark optimization, resource utilization, capacity planning, and batch orchestration. - In-depth understanding of Hive, HDFS, Airflow, and job scheduler. - Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy). - Ability to write complex SQL/Stored Procs. - Experience with DevOps, Jenkins/Lightspeed, Git, and CoPilot. - Strong knowledge in one or more BI visualization tools such as Tableau, PowerBI. - Proven experience in implementing Datalake/Datawarehouse for enterprise use cases. - Exposure to analytical tools and AI/ML is desired. Education: - Bachelor's/University degree, master's degree in information systems, Business Analysis, or Computer Science. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,