Tableau and Data Analytics Engineer

• Demonstrate proficiency in SQL and data visualization technologies, with a strong preference for Tableau
• Analyze and understand engineering requirements for building, maintaining, and operating BI systems throughout their lifecycle
• Design and develop comprehensive dashboards and reports to optimize and manage internal processes and operations
• Establish and maintain continuous integration and deployment (CI/CD) pipelines, including robust testing and monitoring, to ensure reliable and measurable BI solutions
• Drive innovation by taking ownership of solution design, and building blueprints, prototypes, and frameworks for new capability enablement
• Collaborate with diverse cross-functional teams to curate a portfolio of recommended capabilities for use in new analytical product developments across Citi's lines of business
• Publish and disseminate best practices, configuration guidelines, design patterns, tool/technology selection methodologies, and operational playbooks for both engineering and end-user communities
• Implement and secure hybrid cloud solutions for Business Intelligence products
• Deploy and integrate Business Intelligence products on external cloud platforms (SaaS or PaaS) with various cloud and on-premise data sources
• Develop reusable security and deployment frameworks for both cloud-based and on-premise Business Intelligence services
• Automate manual processes to enhance service offerings and accelerate deployments
• Document technical requirements and actively participate in acceptance testing processes
• Build, monitor, and optimize data pipelines to ensure reliability, performance, and scalability
• Write and maintain automated test cases to ensure code quality and coverage

• 5+ years of overall IT experience
• 2+ years of experience as a Business Intelligence tool developer or administrator
• 1+ year of programming experience (e.g. SQL, Java, Python)
• Familiarity with containerization technologies (e.g., Docker), Kubernetes, and cloud architectures, including exposure to public cloud platforms (e.g., AWS, GCP)
• Knowledge of the Hadoop ecosystem, including experience with Hive, Spark, etc., is a plus
• Excellent interpersonal skills with strong written and verbal communication in English
• Ability to interact effectively with clients and cross-functional teams
• Proven team player who actively shares knowledge, participates in cross-training, and demonstrates a keen interest in learning new technologies and products
• Ability to produce high-quality documentation
• Capable of working effectively in a matrixed environment while adhering to established procedures, processes, and policies
• Ability to manage multiple priorities and work independently in a fast-paced environment
• Detail-oriented with strong problem solving and analytical skills
• Self-starter with minimal supervision required, capable of collaborating effectively within diverse teams and geographies

Knowledge of the Hadoop ecosystem, including experience with Hive, Spark, etc.

• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages including vacation, sick leave, and paid holidays