Senior Data Engineer (C11), Analytics & Information Management (AIM), Gurugram

Senior Data Engineer (C11)

Analytics & Information Management (AIM), Gurugram

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We are seeking a highly experienced and strategic Officer – Sr. Data Engineer for Data/Information Management Team. The ideal candidate will be responsible for development and implementation of data analytics solutions to support key business objectives for Legal Operations as part of COO (Chief Operating Office). This role requires proven track record of implementing optimized data processes/platforms, delivering impactful insights, and fostering a data-driven culture.

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The Data/Information Analyst accomplishes results by contributing significantly to the bank's success by leveraging data engineering & solution design skills within specialized domain. Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area.

Responsibilities:

• Incumbents would be primarily responsible for 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 using proven analytical techniques. Responsible for documenting data requirements, data collection / processing / cleaning, which may include Process Automation / Optimization and data visualization techniques.
• Enable proactive issue detection, escalation workflows, and alignment with firmwide Data Related policies, Implement a governance framework with clear stewardship roles and data quality controls
• Interface between business and technology partners for digitizing data collection, including performance generation, validation rules for banking operations. Build Data Strategy by identifying all relevant product processors, create Data Lake, Data Pipeline, Governance & Reporting
• Communicate findings and recommendations to senior management. Stay current with the latest trends and technologies in analytics. Ensure compliance with data governance policies and regulatory requirements.
• Setup a governance operating framework to enable operationalization of data domains, identify CDEs and Data Quality rules. Align with Citi Data Governance Policies and firmwide Chief Data Office expectations
• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies like Centralized data repository with standardized definitions and scalable data pipes
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes. Implement rule-based Data Quality checks across critical data points. Automate alerts for breaks and publish periodic quality reports
• Incumbents in this role may often be referred to as Data Analyst. Develop and execute the analytics strategy – Data Ingestion, Reporting / Insights Centralization, Ensure consistency, lineage tracking, and audit readiness across legal reporting
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
• Work as a senior member in a team of data engineering professionals, working with them to deliver on organizational priorities

Qualifications:

• 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 (ability to trace data lineage from source systems to data warehouse to reports and dashboards), Scalable Data Flow Design and Standardization, Platform Integration, ETL & Smart Automation
• Conceptual, logical, and physical data modeling expertise. Proficiency in relational and dimensional data modeling techniques. Ability and experience in designing data warehouses, integrated data marts, and optimized reporting schemas that cater to multiple BI tools
• Database Management & Optimization. Expertise in database performance tuning and optimization for data enrichment and integration, reporting and dashboarding
• Strong understanding of data platforms / ecosystem, establish a scalable data management framework – data provisioning, process optimization, actionable insights, visualization techniques using Tableau
• Solution Architect with proven ability to translate complex data flows into automated & optimized solutions. Ability to leverage data analytics tools & techniques for analytics problem solving for organizational needs
• Experience in Developing and Deploying AI solutions in partnership with Tech and Business
• Experience with any banking operations (e.g., expense analytics, movement of funds, cash flow management, fraud analytics, ROI). Knowledge of regulatory requirements related to data privacy and security
• Experience in interacting with senior stakeholders across the organization to be able to manage end-to-end conceptualization & implementation of data strategies - standardization data structures, identify and remove redundancies to optimize data feeds
• AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or credit/risk analysis with ability to impact key business drivers via a disciplined analytic process
• Demonstrate Analytics thought leadership skills & project planning capabilities
• In-depth understanding of the various financial service business models, expert knowledge of advanced statistical techniques and how to apply the techniques to drive substantial business results
• Creative problem-solving skills

Education:

• Bachelors/University degree in STEM, Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Time Type :Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Job Level :C11

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Most Relevant Skills

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Other Relevant Skills

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