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Citi Group Apps Development Group Manager - C14 PUNE 
India, Maharashtra, Pune 
111052334

13.12.2024

Responsibilities:

  • Develop enterprise data model and data strategy for enterprise applications. Interface with clients to understand business requirements and implement solutions Design and optimize systems that can process massive amounts of data while ensuring high performance and stability.
  • Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
  • Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
  • Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
  • Ensure essential procedures are followed and contribute to defining standards
  • Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
  • Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources
  • Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary
  • 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.

Technical Skills:

  • Experience with Data Modeling, Master Data Management, Data Governance, Data Cataloging, Data Replication.
  • Experience with data engineering techniques like building data lakes and data warehouses, data mesh, data pipelines, ETL vs. ELT
  • Experience with designing and developing distributed systems, handling structured and unstructured data to store, analyze and report.
  • Experience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark etc.
  • Proficient in PL/SQL and Unix Shell scripts. Strong SQL, PL/SQL development and database tuning experience.
  • Experience with Data Quality and data lineage.
  • Experience in designing Online Transaction Processing (OLTP), Operational Data Store (ODS) and Data Warehouse applications.
  • Expert knowledge of logical and physical database design using Industry standard tools like Magicdraw, Erwin or IBM Infosphere.
  • Experience with large scale databases, RAC, Oracle as a Service and performance tuning

Other Skills:

  • Experience in leading and managing small teams including offshore resources
  • Strong technical skills including troubleshooting, analytical thinking and good understanding of data
  • Strong written and verbal communication skills
  • Strong computer science fundamentals in data structures, algorithms, databases, O/S.
  • Ability to excel in a team environment as well as work independently
  • Experience with source code management tools such as SVN, Git/Bit-bucket

Qualifications:

  • 12+ years of relevant experience with designing data intensive applications. Strong background in designing enterprise data models and handling large scale enterprise databases.
  • Proficient in database design, development, database architecture and data modeling.
  • Experience in the financial industry and with Risk Management is a plus.
  • Experience in management
  • Experience managing global technology teams
  • Consistently demonstrates clear and concise written and verbal communication

Education:

  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

Time Type:

Full time

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