Work Location: Whippany, NJ
Work Mode: Hybrid (Minimum 2 days/week in office)
Salary Range: $100K/Yr - $135K/Yr Base + Annual Bonus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
For more information on benefits and what we offer please visit us at US Careers and Benefits
Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting. Develop data ingestion, transformation, integration, and data quality capabilities.
Support data governance, monitoring, reconciliation, and platform optimization.
ResponsibilitiesBuild and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting. Develop data ingestion, transformation, integration, and data quality capabilities.
Support data governance, monitoring, reconciliation, and platform optimization.
Key Responsibilities:
· Develop and optimise data pipelines and ETL/ELT processes.
· Build and maintain data warehouse and data lake structures.
· Ensure data quality, governance, and security across platforms.
· Collaborate with data scientists and engineering teams.
· Monitor performance and troubleshoot data workflows.
Qualifications- Minimum 6 years of experience
- Strong SQL, Python, Spark.
- Python expertise (mandatory) and hands-on experience with AWS services and/or Databricks.
- Experience with cloud data platforms AWS and/or Azure.
- Knowledge of data modelling, governance, and metadata.
- Understanding of large-scale distributed data
Skills Required
- Minimum 6 years of experience
- Strong SQL
- Python expertise (mandatory)
- Spark
- Hands-on experience with AWS services and/or Databricks
- Experience with cloud data platforms (AWS and/or Azure)
- Knowledge of data modelling, governance, and metadata
- Understanding of large-scale distributed data
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.
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