Data Engineer Snowflake

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Data Engineer Snowflake

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Job Info

• Job Identification14529
• Posting Date06/01/2026, 04:02 AM
• Job RoleData engineer-Engineering
• Experience (In Years)3-6

Job Description

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.

Required Skills

• Adapting To Change
• Attention To Consistency
• Data Architecture
• Data Strategy
• ETL Design
• Interpersonal Dynamics with Coworkers
• Resource Management
• Results Orientation
• Time Management Skills
• Working under Pressure
• Writing Communication Skills

Similar Jobs

• Data Engineer Snowflake\ \ Gurugram, Haryana, India(Hybrid)Posted on 06/01/2026\ \ Trending\ \ We are seeking a highly skilled and motivated Data Engineer to join our dynamic team.

• Lead Data Engineer\ \ United States(Hybrid)Posted on 05/18/2026\ \ Trending\ \ Role: Lead Data Engineer\ Work Location: Los Angeles, CA ( Hybrid)\ We are looking for a Lead Data Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI. In this hands-on role, you will work closely with data architects, business stakeholders and analysts to develop reliable data solutions and ensure high-quality data is available across the organization. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

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