• Design and implement GenAI agents, ensuring scalability and governance; • Advanced proficiency with the Gemini Enterprise platform and tools (ADK, AgentSpace, AgentEngine, crewAI); • Expertise in LLMs, generative AI frameworks, and low-code workflow/orchestration solutions; • Define prompt frameworks, fine-tuning strategies, and model evaluation methods; • Identify automation opportunities, structure use cases and business cases, and validate technical and regulatory feasibility; • Oversee pilots, define success criteria, and guide evolution to scale; • Drive technical debt reduction, modularity, and advanced observability practices.

Role Description We are looking for an experienced Looker & LookML Developer with strong expertise in data analytics, business engagement, and customer-facing interactions. The ideal candidate should have hands-on experience in building scalable LookML models, dashboards, and analytics solutions while working closely with business stakeholders and technical teams. The candidate will play a key role in translating business requirements into meaningful data insights and analytics solutions within Brokerage & Logistics domain projects. Qualifications - 5 to 10 years of experience - Looker & LookML Developer with GCP Cloud - Ability to work closely with stakeholders and business users - Strong requirement gathering and KPI definition skills - Hands-on experience building LookML models, explores, and dashboards in Looker - Strong documentation and communication skills - Understanding of data structures, metric logic, and analytics modeling - Organized and structured problem-solving approach - Experience in Brokerage, Logistics, Supply Chain, or Transportation domain projects - Exposure to cloud-based analytics platforms on GCP or AWS - Experience handling customer-facing roles and stakeholder discussions independently - Strong analytical and communication skills Requirements - Develop, maintain, and optimize LookML models, explores, and dashboards in Looker - Work directly with business stakeholders and customers to gather requirements and translate them into analytics solutions - Lead requirement discussions and clarify ambiguous business needs - Design scalable data models and KPI-driven reporting solutions - Collaborate with Data Engineers, Analysts, and Cloud teams for end-to-end analytics delivery - Create structured documentation for business requirements, KPI definitions, and technical implementations - Ensure data quality, consistency, and performance optimization across dashboards and reports - Support customer-facing discussions, demos, and solution walkthroughs - Work with cloud-based data platforms and modern data warehouse solutions - Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives Benefits - Remote Work - This is a customer-facing role requiring strong communication and stakeholder interaction skills - Candidate should be comfortable working remotely in EDT time zone - Immediate joiners or candidates available at short notice will be preferred

• Lead and participate in the development and validation of high quality CDISC datasets based on the implementation guides and consultations with sponsors, project leads, systems analysts, other programmers, and end users • Use your expertise in data standards and regulatory requirements to lead discussions with clients about appropriate approaches to database design • Use study protocol, CRF, Data Transfer Agreements from vendors, data sources, CDISC CT, TAUGS, and CDISC implementation guides to independently author SDTM specifications from scratch; use Pinnacle 21 to run data conformance and create define.xml for SDTM and ADaM submissions • Act as the CDISC subject matter expert • Convert designs and specifications into computer code and analyze code to find causes of errors and revise programs • Write and maintain documentation of changes to computer code, programs, and specifications • Review user and technical documentation written by others to confirm consistency with program operations • Offer expertise relevant to statistical programming and CDASH data collection for study start up, execution, and close out: review protocols, draft CRFs; prepare and review validation plans, review vendor DTAs, etc • Modify and maintain software programs written by others • Provide mentorship and training to peers and more junior programmers in areas of expertise • Ensure effective, accurate and timely communication of key issues and progress to the team and Sr. Management • Perform functional lead activities on assigned projects while maintaining scope and budget oversight • May provide guidance and input to the budgets and business submissions of proposals

• Drive the transition of legacy systems to modern architectures • Proactively monitor and maintain aging infrastructure to ensure high availability and performance • Design and implement scalable solutions using serverless technologies and robust backend scripting • Maintain rigorous documentation standards by utilizing Pull Requests (PRs) to record architectural changes, code updates, and completed tasks • Oversee automated deployment pipelines to ensure code quality and streamlined delivery cycles