Data Ops Capability Deployment - Analyst - AVP

10 - 14 years

0 Lacs

Posted:17 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Data Ops Capability Deployment Analyst at Citi, you will be a seasoned professional contributing to the development of new solutions and techniques for the Enterprise Data function. Your primary role will involve performing data analytics and analysis across various asset classes, as well as building data science capabilities within the team. You will collaborate closely with the Enterprise Data team to deliver on business priorities. Key Responsibilities: - Hands-on experience with data engineering and a strong understanding of Distributed Data platforms and Cloud services. - Sound knowledge of data architecture and 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. - Conduct complex data analytics on large datasets including data cleansing, transformation, joins, and aggregation. - Develop analytics dashboards and data science capabilities for Enterprise Data platforms. - Communicate findings and propose solutions to stakeholders. - Translate business and functional requirements into technical design documents. - Work with cross-functional teams for successful project delivery. - Demonstrate a deep understanding of the development function within the banking industry. - Perform other assigned duties and functions. Skills & Qualifications: - 10+ years of development experience in Financial Services or Finance IT. - Experience with Data Quality, Data Tracing, Data Lineage, and Metadata Management Tools. - Hands-on experience with ETL using PySpark on distributed platforms. - Proficiency in Hive, HDFS, Airflow, and job scheduler. - Strong programming skills in Python with experience in data manipulation and analysis libraries. - Ability to write complex SQL and Stored Procedures. - Experience with DevOps tools such as Jenkins, Git, and CoPilot. - Knowledge of BI visualization tools like Tableau and PowerBI. - 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 require accommodation to use our search tools or apply for a career opportunity, please review the Accessibility at Citi policy.,

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