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Citi Group Engineering Lead Analyst Python - C13 CHENNAI 
India, Tamil Nadu, Chennai 
865373840

01.04.2025

Responsibilities:

  • Ability to implement Python based machine learning models.
  • Design, build and maintain scalable, reliable and efficient ETL/ELT pipelines to ingest, transform and store large volumes of data
  • Optimize data pipelines for performance, cost and scalability
  • Implement incremental and near-real time data processing
  • Develop and manage database architectures on Oracle
  • Strong understanding of CI/CD pipelines to be able to deploy frequently
  • Implement data validation, cleansing strategies
  • Work closely with senior analysts, product owners to understand data requirements
  • Partner with other engineers within team and across teams for effective data integration
  • Mentor junior developers and contribute to best practices and coding standards
  • Monitor and troubleshoot performance bottlenecks in data processing workflows
  • Build interactive data-driven web applications using React/Angular
  • Develop custom dashboards using Tableau or equivalent
  • Implement logging, monitoring and alerting mechanisms
  • Optimize SQL queries and data ingest jobs

Qualifications:

  • 8+ years of relevant experience in Data Engineering role with Python, ETL, SQL and Java script.
  • Experience working in Financial Services or a large complex and/or global environment
  • Project Management experience
  • Consistently demonstrates clear and concise written and verbal communication
  • Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
  • Demonstrated analytic/diagnostic skills
  • Ability to work in a matrix environment and partner with virtual teams
  • Ability to work independently, multi-task, and take ownership of various parts of a project or initiative
  • Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
  • Proven track record of operational process change and improvement

Education:

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


Time Type:

Full time

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