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fa-ewjt-saasfaprod1-cx2

Data Engineer Snowflake

Gurgaon · Mid Level

Older listing - lower visibility likelyVerified listingPosted 84d ago

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64Skills
97Experience

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Our tracked job listings for fa-ewjt-saasfaprod1-cx2 show limited recent activity.

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Window passed - posted 84d ago

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Skills required

14 listed
Query OptimizationFeature EngineeringPower BISnowflake (Data Warehouse)EconomicsStatisticsPython (Programming Language)Pyspark+6 more
Query OptimizationFeature EngineeringPower BISnowflake (Data Warehouse)Economics

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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.

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
  • 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.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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