Consumer Data Platform - Data Engineer C11

Responsibilities:

• Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
• Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
• Apply fundamental knowledge of programming languages for design specifications.
• Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
• Serve as advisor or coach to new or lower level analysts
• Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
• Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
• 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.

Qualifications:

• 2-5 years of relevant experience in the Financial Service industry

• Data Engineer with banking knowledge & hands on experience in below areas with Big Data Skill.

  Business/ Data Analysis in banking domain

  • Mapping- source to target , consumption, data tracing. 

  • Functional Impact analysis

  • Hands on RDBMS & Big data experience.

  • Experience in Java / Scala working experience - Optional

  • Experience in Big data technologies like HDFS, Hive
  • Working experience with Any Hadoop Distribution   - Cloudera/Hortonworks
  • Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques
  • Experienced with Linux/Unix platform  
  • Experience in RDMS and No SQL databases 

• Consistently demonstrates clear and concise written and verbal communication
  • Ability to work as part of team and independently
  • Interpersonal skills to interact with team members and clients
  • Prior experience working with remote teams
  • Candidate should be willing to work extended hours in order to interact with global partners/teams or as per project demand. 

Education:

• Bachelor’s degree/University degree or equivalent experience

Good to have:
• Python
• Kafka or other equivalent messaging services 
• Exposure on Public Cloud  - GCP/AWS/Azure