Data Engineer (Snowflake)

EXL; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL is seeking a Data Engineer to design and maintain scalable data pipelines and support AI-ready data platforms in Bengaluru. You will migrate legacy architectures to cloud-based solutions and build semantic layers for analytics and BI tools.

The role emphasizes collaboration with stakeholders, data scientists, and product teams, ensuring data quality, security, and governance throughout the data lifecycle.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field from a top-tier university.
• 2+ years of hands-on Python and PySpark with performance tuning.
• Experience with data lakes, lakehouses, and DWs (Snowflake/Databricks/BigQuery/Redshift).
• Snowflake certification (SnowPro Core required; Advanced preferred).
• Excellent communication to explain technical concepts to non-technical audiences.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics and BI.
• Lead migration of legacy data architectures to cloud-based AI-ready platforms.
• Develop semantic layers for business-friendly data access.
• Collaborate with stakeholders, data scientists, analysts, and product teams.
• Ensure data quality, security, and governance through validation and monitoring.
• Document architectures, pipelines, and best practices for maintainability.

Skills

Python

PySpark

Data pipelines

Cloud platforms

Snowflake certification

Education

Bachelor's/Master's in Economics, Statistics, Engineering

Tools

Snowflake

Databricks

BigQuery

Redshift

Tableau

Power BI

Looker

AWS

Azure

GCP

Job description

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. 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.

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 & Core Skills (Must-Have)

• 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
• 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.

Why Join Us?

• EXL offers an exciting, fast-paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants and drive real world impact
• Being a Data & AI-led firm, we are constantly seeking innovative interventions in our client’s workflows. This role offers a unique environment to lead in the collections services domain while learning and leveraging emerging trends across the ever‑evolving data and AI landscape