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AI Data Engineer (AWS/Snowflake)
AI Data Engineer (AWS/Snowflake)Entech • mumbai city, maharashtra, in
AI Data Engineer (AWS / Snowflake)

AI Data Engineer (AWS / Snowflake)

Entech • mumbai city, maharashtra, in
23 days ago
Job description

AI Data Engineer (AWS / Snowflake)

Remote (India-Based)

Overview

Entech Consulting is supporting our client, an AI-driven company that helps global organizations reduce the cost and time-to-market for promotional assets through intelligent automation. They recently secured multiple new engagements and is expanding rapidly. We’re seeking a strong technical AI Data Engineer with recent hands-on AI / ML and data engineering experience to join their growing team.

This is a remote role based in India, working closely with a mostly U.S.-based team of strategists and engineers.

Key Responsibilities

  • Develop and optimize data pipelines and API integrations to support AI / ML workloads.
  • Configure and maintain AWS infrastructure for AI and data operations, including S3, Lambda, VPC, ECS / ECR, and CloudFormation.
  • Design and manage Snowflake environments (Snowpipe, Warehouses, Databases) for scalable data ingestion and processing.
  • Build and maintain connectors and APIs for integrating training datasets into LLMs (Large Language Models).
  • Collaborate with a small, agile team to deliver AI-driven solutions from data ingestion through model deployment.
  • Contribute ideas, challenge assumptions, and help shape a fast-moving AI product environment.

Required Skills & Experience

  • 7+ years of experience in AI / ML field and AWS
  • Recent, hands-on experience with AI / ML data pipelines — not limited to internal reporting or BI work.
  • AWS expertise across :
  • CloudFormation
  • DynamoDB
  • Lambda
  • Security / encryption (AMS KMS)
  • VPC, S3
  • API management
  • ECS, ECR
  • AI / ML integration experience, ideally with SageMaker or similar frameworks.
  • Snowflake (Snowpipe, Database, Warehouse) including Lambda-Snowflake queries and data synchronization.
  • Strong understanding of data architecture and cloud infrastructure for AI workloads.
  • Soft Skills & Culture Fit

  • Strong communication and collaboration skills — able to engage effectively with U.S.-based team members.
  • Proactive, curious, and entrepreneurial mindset.
  • Comfortable working in a tight-knit team where ideas are shared openly and everyone contributes.
  • Excited about AI innovation and continuous learning.
  • We offer

  • Fully remote work
  • Competitive salary
  • Paid time off
  • Opportunity for professional growth
  • If you’re interested and think you could thrive in this role, we’d love to hear from you!

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