Engineering Lead Analyst enhancing Business Intelligence Services for Citi. Responsibilities include evaluating data tools, collaborating with teams, and ensuring scalability and reliability.
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
Engage with external vendors and internal stakeholders to coordinate product features, raise enhancement requests, and resolve technical issues efficiently
Liaise with end users and internal customers to gather requirements, provide technical solutions, and deliver a high standard of service and support
Contribute to the overall system architecture and engineering strategy, promoting automation-first approaches and reusable design patterns
Document processes, solutions, and best practices to ensure transparency, knowledge sharing, and operational excellence
Requirements
6+ years of IT experience is required
3+ years of experience in administration or development of Starburst Enterprise Platform, Trino with a strong preference for administration experience
4+ years of hands-on administration experience with at least one major Business Intelligence (BI) product (e.g., Tableau, Cognos, MicroStrategy)
4+ years solid hands-on experience with Linux operating systems, including experience with VMware
4+ years of solid proficiency in Unix Shell scripting, Ansible, Python scripting
4+ years of experience with containerization technologies (e.g., Docker, Kubernetes, OpenShift) and understanding of best practices for building scalable, resource-optimized, and cloud/Kubernetes provider agnostic containerized solutions
4+ years of strong knowledge of SQL language and hands-on experience with multiple Relational Database Management Systems (RDBMS), HiveQL, Spark
Experience in implementing and managing Single Sign-On (SSO), OAuth, LDAP, and AD integrations
Experience working with AWS/GCP
Certification is preferred
Benefits
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Job title
Business Intelligence Lead Analyst, Vice President
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