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Data Engineer - Technical Trainer

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Remote

Data Engineer - Technical Trainer

V4c Info Systems

Data Engineer - Technical Trainer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonSnowflakeDatabricksAIAWSPySparkAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

25 September 2026

What they need


Job Title:

Data Engineer / Senior Data Engineer Transition to Technical Trainer (Snowflake / Databricks) 100% Remote

+++ Note: This is a Data Engineer Transition to Data Engineer Trainer Role +++

Preferred: Snowflake or Databricks is good to have not mandatory

Role Category:

Training & Development / Technical Enablement

Employment Type:

Full Time, Permanent

Work Location:

100% Fully Remote

Job Description

Are you currently working as a Data Engineer or Senior Data Engineer and looking to transform your career into a Data Engineering Trainer? If yes, this is the right platform for you offering a 100% remote opportunity with zero client delivery stress!

This role is designed for Data Engineers who love solving technical problems, explaining complex architectures, and guiding others, but want to exit the high-pressure cycle of client delivery, billable hours, and tight project deadlines.

Your day-to-day work will completely revolve around mentoring, guiding, and coaching technical folks from junior engineers up to senior levels. Additionally, you will get dedicated hands-on exposure to upskill in GenAI, AI-assisted workflows, and Claude/LLM tooling to stay ahead of the technology curve.

What You Will Do

  • Mentoring & Coaching: Guide and coach technical professionals (junior to senior level) through structured data engineering concepts, architecture patterns, and hands-on labs.
  • Curriculum & Hands-on Enablement: Build real-world case studies, ETL pipeline exercises, and practical projects using Snowflake or Databricks.
  • 100% Enablement Focus: Work purely on technical coaching, knowledge sharing, and student/trainee growth without any client delivery management.
  • AI & GenAI Upskilling: Actively learn and integrate modern AI workflowsincluding Claude, LLM integrations, and AI engineering practicesinto modern data engineering learning paths.
  • Preferred: Snowflake or Databricks is good to have not mandatory

Who Should Apply?

  • Current Roles: Working Data Engineers, Senior Data Engineers, Module Leads, or Technical Leads who want to switch to a career in Technical Training / Coaching.
  • Technical Stack: Hands-on experience with either Snowflake (Snowpark, SQL, Data Pipelines) OR Databricks (PySpark, Delta Lake, Spark SQL).
  • Core Skills: Strong command over Python, SQL, Cloud Data Concepts (AWS/Azure/GCP), and Data Pipelines.
  • Passion for Teaching: Great communication skills and a natural talent for explaining technical topics clearly to others.

Perks & Benefits

  • 100% Remote Work: Complete flexibility to work from anywhere.
  • No Delivery Stress: Transition away from billable client deadlines into pure coaching and technical enablement.
  • Cutting-Edge Upskilling: Deepen your expertise in Next-Gen AI tools, Claude, and LLM-driven data engineering workflows.

How to Apply / Reach Out Directly

If you are ready to transition your career from delivery to technical coaching, reach out directly:

  • Email: Send your resume to [email protected]
  • LinkedIn: Connect and message directly at Ganesh Manoharan on LinkedIn

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