Data Engineer Snowflake

Posted 12 Days Ago
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Gurugram, Haryana, IND
Hybrid
Junior
Information Technology • Database • Consulting
The Role
Build and maintain scalable data pipelines, migrate legacy architectures to cloud-based AI-ready platforms, develop semantic layers, and support analytics, business intelligence, and AI/ML use cases. The role collaborates with stakeholders, data scientists, analysts, and product teams while ensuring data quality, security, governance, documentation, and workflow optimization.
Summary Generated by Built In

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.

Responsibilities

Key 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
Qualifications
  • 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 a related quantitative field from a top-tier university
  • At least 2 years of hands-on experience with advanced Python and PySpark, including performance tuning and complex query optimization
  • Hands-on experience with data lakes, lakehouses, or data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
  • Snowflake SnowPro Core certification
  • Excellent communication skills and ability to explain technical concepts to non-technical audiences
  • Snowflake SnowPro Advanced certification
  • Experience supporting AI/ML pipelines and feature engineering
  • Working knowledge of Tableau, Power BI, or Looker
  • Hands-on experience with AWS, Azure, or GCP
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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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