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Design and translate business needs into scalable data models, reverse-engineer physical models, analyse integration challenges, support data architecture and data movement strategy.

Posting only contains a company/team overview for EXL and the job title (DevOps Engineer). No specific responsibilities, tasks, qualifications, technologies, location, or compensation details are provided.

Develop and maintain Python-based ETL pipelines, write optimized SQL for extraction and reporting, design and manage relational databases, collaborate with teams to deliver scalable data solutions, and apply best practices for coding, testing, and deployment.

Client-facing engagement lead responsible for driving data platform and AI modernization engagements: translating business challenges into data/AI solutions, managing delivery and financials, building C-level relationships, enabling sales, and ensuring adoption of data governance, migration, DataOps, MDM, lineage, and AI capabilities.

Design, build, and maintain ETL/ELT pipelines and data integration workflows into Snowflake using Azure Data Factory and DBT. Write and optimize SQL for extraction and transformation, monitor pipeline performance, enforce data quality and governance, and collaborate with analysts, architects, and DevOps in cloud-native environments.

Design, build, and maintain cloud data lakehouse architectures across AWS/GCP/Azure using VMs, containers, Kubernetes, serverless, storage and databases. Implement SaaS hosting, manage secrets and environment configs, build CI/CD and GitOps pipelines, optimize cloud costs, collaborate cross-functionally, and grow into leadership.

Design and build user-centered web experiences in Microsoft Power Apps (primarily Canvas apps). Create UX/UI, reusable components, integrate Dataverse/SharePoint/SQL/APIs, optimize performance and accessibility, collaborate on data contracts and ALM, and support testing, debugging, and environment promotion.

Lead EXL's sports industry go-to-market and new business efforts. Develop strategy, co-create integrated digital and analytics solutions, build C-level relationships, win MSAs/SOWs, represent the firm publicly, and grow the sports portfolio across adjacent sectors.

Design, build, and deploy agentic LLM-based systems and autonomous workflows. Develop scalable ML pipelines and MLOps infrastructure, integrate agents with enterprise APIs and cloud platforms, and collaborate with product and engineering to deliver production-grade, reliable AI solutions.

Provide English-language travel support via phone, email and chat. Handle airline fares, hotel and car bookings, GDS ticketing including issuance, re-issue, refunds and EMDs. Maintain accuracy and productivity, resolve client queries, build customer relationships, participate in process improvements, and work required shift/holiday schedules.