Citi's Enterprise Analytics Services (EAS) team seeks an Engineering Lead Analyst to enhance Business Intelligence Services, ensuring quality standards are met within existing and planned frameworks.
Requirements
8+ years of IT experience
4+ years of experience in administration or development of Starburst Enterprise Platform, Trino
7+ years of hands-on administration experience with at least one major Business Intelligence (BI) product (e.g., Tableau, Cognos, MicroStrategy)
7+ years solid hands-on experience with Linux operating systems, including experience with VMware
5+ years of solid proficiency in Unix Shell scripting, Ansible, Python scripting
4+ years of experience with containerization technologies (e.g., Docker, Kubernetes, OpenShift)
5+ years of strong knowledge of SQL language and hands-on experience with multiple Relational Database Management Systems (RDBMS), HiveQL, Spark
Responsibilities
Evaluate, engineer, and enable data federation tools, specifically focusing on the efficient integration and accessibility of data across diverse business lines and disparate data sources
Evaluate and certify new product features and releases through structured testing and validation to ensure compatibility, performance, and security within the enterprise environment.
Demonstrate strong analytical ability in designing solutions with complex architectures involving multiple integrated platforms.
Engineer and customize enterprise platforms to align with evolving organizational requirements, ensuring scalability, reliability, and maintainability.
Design, build, and deliver containerized solutions, ensuring optimal resource utilization and scalability.
Collaborate cross-functionally with operations teams to provide technical guidance, develop fit-for-purpose automation tools, and support production needs.
Contribute to the overall system architecture and engineering strategy, promoting automation-first approaches and reusable design patterns.
Other
Bachelor’s degree/University degree or equivalent experience
