
10,000+ employees
💰 $2M Venture Round on 2015-01
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
🔥 3 minutes ago
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10,000+ employees
💰 $2M Venture Round on 2015-01
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
• Deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP) • Resolve infra, security, and data pipeline issues in real time • Customize accelerators and agent workflows for client-specific needs • Drive measurable value realization from Day 1 • Champion product enhancements back to the EXLdata.ai engineering team • Deliver white-glove support for clients using our managed platform offering • Serve as the technical anchor for first-of-kind deployments at each client. • Ensure clients see measurable value from agent-driven automation (SLA reduction, pipeline acceleration, DQ uplift, migration speed). • Provide hands-on support across discovery, configuration, runbooks, and UAT.
• 6–12+ years as a Senior Data Engineer, Forward Deployment Engineer, or Platform Engineer. • Strong hands-on experience with at least one hyperscaler (AWS or Azure or GCP). • Deep expertise in: • PySpark, SQL, Python • Databricks / Snowflake (one mandatory, both preferred) • Cloud data services (Kinesis, Glue, Redshift, Synapse, BigQuery, DataProc, etc.) • Kubernetes, Docker, CI/CD • IAM, VPC, private networking, secrets, API management • Demonstrated ability to work directly with client engineering teams. • Comfortable running design discussions, debugging sessions, and deployment workshops. • Strong communication skills; able to simplify technical topics for business audiences. • Ability to operate independently with a consulting mindset and ownership mentality. • Exposure to LLMs, agent tooling (LangChain, LangGraph, CrewAI, etc.), or willingness to learn fast. • Strong interest in how AI can automate data engineering and governance. • “Can-do” attitude; thrives in ambiguity. • Fast learner; bias for action. • Team player who collaborates across product, engineering, and client teams. • Customer-first orientation and passion for delivering measurable outcomes.
• EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
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