Data Engineer – Snowflake

EXL

Data Engineer responsible for designing data pipelines and collaborating with stakeholders to optimize workflows for analytics and business intelligence initiatives. Position based in Gurugram, Haryana, India.

Posted 6/1/2026full-timeGurugram • 🇮🇳 IndiaJuniorMid-LevelWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonPysparkdata lakeslakehousesdata warehousesperformance tuningquery optimizationAI/ML pipelinesfeature engineeringdata validation

Soft Skills

communication skillscollaborationstakeholder engagementtechnical translationknowledge sharingdata governance

Tools & Technologies

SnowflakeDatabricksBigQueryRedshiftTableauPower BILookerAWSAzureGCP

Certifications & Qualifications

SnowPro CoreSnowPro Advanced

Industry Keywords

data pipelinesanalyticsreportingdata architecturedata qualitydata integritydata securitydata compliancebusiness intelligencecloud-based platforms

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformPySparkPythonTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide Post a Job Affiliates Search Remote Jobs EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Data Engineer – Snowflake 🔥 1 hour ago 🏢🏡 Gurugram – Hybrid ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer Amazon Redshift AWS Azure BigQuery Cloud Google Cloud Platform PySpark Python Tableau Apply Now Find Similar Remote Jobs Receive Emails For Remote Jobs 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Upload Resume Report problem 📋 Description
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 🎯 Requirements
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. Apply Now Similar Jobs Data Migration – Quality Analyst 🕒 March 20 Anaqua 501 - 1000 Website LinkedIn All Job Openings Quality Analyst responsible for managing Data Migration projects at Anaqua, a leader in Intellectual Property solutions. Collaborating with stakeholders and ensuring project quality and timelines in a hybrid work model. 🏢🏡 Gurugram – Hybrid 💰 Private Equity Round on 2019-02 ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer View More Data Engineer Jobs