Enterprise Analytics Services (EAS) team (Part of Cloud Technology Services Organization) seeks a highly motivated and experienced Engineering Lead Analyst to enhance our Business Intelligence Services.
This role requires a strategic thinker and hands-on contributor who thrives in a fast-paced environment, passionate about building and managing best-in-class BI products as a service. The overall objective is to ensure quality standards are met within existing and planned frameworks.

QUALIFICATIONS:

• 8+ years of IT experience is required.
• 4+ years of experience in administration or development of Starburst Enterprise Platform, Trino with a strong preference for administration experience.
• 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) and understanding of best practices for building scalable, resource-optimized, and cloud/Kubernetes provider agnostic containerized solutions.
• 5+ 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.

EDUCATION:

• Bachelor’s degree/University degree or equivalent experience
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MOST RELEVANT SKILLS

Please see the requirements listed above.
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OTHER RELEVANT SKILLS

For complementary skills, please see above and/or contact the recruiter.
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• 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.