· 3+ years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.
· Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
· Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.
· Deep understanding of microservices architecture and distributed systems.
· Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
· Experience with big data technologies like Snowflake.
· Strong problem-solving and performance optimization skills.
· Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.
· Experience working in agile environments delivering complex data engineering solutions.
· Proven expertise or certification in Palantir Foundry is highly preferred.
· Prior experience in the insurance domain is highly desirable.
· 3+ years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.
· Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
· Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.
· Deep understanding of microservices architecture and distributed systems.
· Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
· Experience with big data technologies like Snowflake.
· Strong problem-solving and performance optimization skills.
· Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.
· Experience working in agile environments delivering complex data engineering solutions.
· Proven expertise or certification in Palantir Foundry is highly preferred.
· Prior experience in the insurance domain is highly desirable.
· 3+ years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.
· Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
· Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.
· Deep understanding of microservices architecture and distributed systems.
· Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
· Experience with big data technologies like Snowflake.
· Strong problem-solving and performance optimization skills.
· Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.
· Experience working in agile environments delivering complex data engineering solutions.
· Proven expertise or certification in Palantir Foundry is highly preferred.
· Prior experience in the insurance domain is highly desirable.
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.
