This role involves building data pipelines, migrating legacy architecture to AI ready data & semantic layer, collaborating with stakeholders, and optimizing data workflows to support advanced analytics and business intelligence initiatives.
ResponsibilitiesKey Responsibilities
- Design, build, and maintain robust, scalable, and reliable data pipelines to support analytics, reporting, and AI/ML use cases
- Lead the migration of legacy data architectures to modern, cloud‑based, AI‑ready data platforms
- Develop and implement semantic layers to enable consistent, business‑friendly access to data for analytics and BI tools
- Collaborate closely with business stakeholders, data scientists, analysts, and product teams to understand data requirements and translate them into technical solutions
- Ensure data quality, integrity, security, and compliance through validation, monitoring, and governance best practices
- Document data architectures, pipelines, and best practices to support knowledge sharing and long‑term maintainability
- Bachelors / Master’s degree in Economics, Statistics, Engineering or a related quantitative field from a top-tier university
- Advanced Python & Pyspark: 2+ years of hands-on experience with performance tuning and complex query optimization
- Hands‑on experience with modern data architectures such as data lakes, lakehouses, and data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
- Snowflake certification (SnowPro Core required; SnowPro Advanced preferred)
- Excellent communication skills, with the ability to explain technical concepts to non‑technical audiences
Desirable Skills (Good-to-Have)
- Experience supporting AI/ML pipelines and feature engineering
- Working knowledge of data visualization software such as Tableau, Power BI and Looker
- Hands-on experience with cloud platforms: AWS, Azure, or GCP.
Skills Required
- Bachelor's or Master's degree in Economics, Statistics, Engineering, or related quantitative field
- Advanced Python and PySpark with 2+ years hands-on experience, including performance tuning and complex query optimization
- Hands-on experience with modern data architectures (data lakes, lakehouses) and cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift)
- Snowflake certification (SnowPro Core)
- Excellent communication skills, able to explain technical concepts to non-technical audiences
- SnowPro Advanced certification
- Experience supporting AI/ML pipelines and feature engineering
- Working knowledge of Tableau, Power BI, or Looker
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
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.
