Data Engineer

Posted 14 Days Ago
Be an Early Applicant
Gurugram, Haryana, IND
Hybrid
Mid level
Information Technology • Database • Consulting
The Role
Design, build, and optimize cloud data pipelines and storage solutions on AWS. Ensure performance, metadata management, and provide technical support while collaborating with stakeholders.
Summary Generated by Built In
  • 4+ Years of hands-on, progressive experience in Cloud Data Engineering, Data Architecture
  • Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management 
  • Insurance industry experience preferred but not mandatory
  • Tools:
    • Cloud Environment: AWS (S3, IAM, VPC, Glue, Lambda etc.)
    • Experience with dbt Core, Iceberg, AWS Glue Catalog, AWS lambda, Redshift, Athena, Splunk, AmazonQ, AWS streaming services, Git
    • Strong SQL, Pyspark and Python
Responsibilities

Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.

Qualifications

Bachelor's/Master's in Engineering 2-5 years

Skills Required

  • 4+ years hands-on experience in Cloud Data Engineering and Data Architecture
  • Deep understanding of data engineering principles, ETL/ELT patterns, and metadata management
  • Experience with AWS cloud environment (S3, IAM, VPC, Glue, Lambda)
  • Experience with dbt Core, Iceberg, AWS Glue Catalog, AWS Lambda, Redshift, Athena, Splunk, AmazonQ, AWS streaming services, Git
  • Strong SQL, PySpark and Python skills
  • Bachelor's or Master's degree in Engineering
  • Insurance industry experience
  • 2-5 years relevant experience (listed in qualifications)
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

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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