EXL

Senior Data Engineer

EXL  •  Bengaluru, IN (Onsite)  •  5 months ago
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Job Description

Key Responsibilities

1. Deployment & Infrastructure Engineering

  • Deploy EXLdata.ai in client-owned AWS/Azure/GCP environments.
  • Configure networking, security, CI/CD, Kubernetes, API gateways, and identity integration.
  • Troubleshoot environment, infra, IAM, and pipeline-related issues.
  • Lead cloud-level optimizations (scaling, cost, performance tuning).

2. Data Engineering & Pipeline Enablement

  • Build, customize, and optimize data pipelines using PySpark, SQL, Databricks, Snowflake, or native hyperscaler data services.
  • Integrate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation).
  • Assist client SMEs in onboarding data sources, targets, and transformations.

3. Value Realization & Client Enablement

  • 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.

4. GenAI Agent Integration

  • Work with product engineering on integrating new GenAI agents into client pipelines.
  • Tailor agent behaviors, triggers, and workflows for domain-specific use cases.
  • Share field insights that shape our agent roadmap.

5. Product Innovation & Feedback Loop

  • Act as the “voice of the customer” for the EXLdata.ai product team.
  • Identify enhancements, feature gaps, and new accelerator ideas.
  • Participate in internal sprints, tooling improvements, and platform hardening.

6. Managed Service / White-Glove Model

  • Support deployments in EXL-hosted private cloud environments.
  • Serve as the first line of operational excellence for premium clients.
  • Lead operational reliability, monitoring, and support SLAs.

Required Skills & Experience

Technical Expertise

  • 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

Delivery & Client Facing Skills

  • 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

GenAI & Multi-Agent Curiosity

  • 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.

Mindset & Attributes

  • “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.

Key Responsibilities

1. Deployment & Infrastructure Engineering

  • Deploy EXLdata.ai in client-owned AWS/Azure/GCP environments.
  • Configure networking, security, CI/CD, Kubernetes, API gateways, and identity integration.
  • Troubleshoot environment, infra, IAM, and pipeline-related issues.
  • Lead cloud-level optimizations (scaling, cost, performance tuning).

2. Data Engineering & Pipeline Enablement

  • Build, customize, and optimize data pipelines using PySpark, SQL, Databricks, Snowflake, or native hyperscaler data services.
  • Integrate platform agents into client workflows (Data Migration, DQ, DataOps, Annotation).
  • Assist client SMEs in onboarding data sources, targets, and transformations.

3. Value Realization & Client Enablement

  • 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.

4. GenAI Agent Integration

  • Work with product engineering on integrating new GenAI agents into client pipelines.
  • Tailor agent behaviors, triggers, and workflows for domain-specific use cases.
  • Share field insights that shape our agent roadmap.

5. Product Innovation & Feedback Loop

  • Act as the “voice of the customer” for the EXLdata.ai product team.
  • Identify enhancements, feature gaps, and new accelerator ideas.
  • Participate in internal sprints, tooling improvements, and platform hardening.

6. Managed Service / White-Glove Model

  • Support deployments in EXL-hosted private cloud environments.
  • Serve as the first line of operational excellence for premium clients.
  • Lead operational reliability, monitoring, and support SLAs.

Technical Expertise

  • 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

Delivery & Client Facing Skills

  • 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

GenAI & Multi-Agent Curiosity

  • 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.

Mindset & Attributes

  • “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

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
Website
exlservice.com
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