Job Description

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Trainer Data Engineer & Cloud Data Platform

Role Summary

We seek a Senior Data Engineer & Technical Trainer to teach modern cloud data engineering with Azure, AWS, GCP, Azure Databricks, Snowflake. Focus on production-grade pipelines, Lakehouse, ELT, CDC, streaming, data modeling, and governance.

Key Responsibilities

Deliver multi-cloud data engineering training (fundamentals to advanced) Teach batch, streaming, CDC pipelines & Lakehouse architectures Build real-world use cases in Azure, AWS, GCP, Databricks, Snowflake Conduct hands-on labs, code reviews, architecture walkthroughs Guide students on data modeling, orchestration, monitoring, CI/CD Mentor students for interviews and industry project execution

Core Technical Expertise

Cloud: Azure (primary), AWS, GCP (exposure) Azure Synapse Analytics, Azure Data Factory Azure Databricks, Delta Lake, Unity Catalog Event Hubs, ADLS Gen2, Key Vault, private links Snowflake: Streams, Tasks, governance, time travel BigQuery / Redshift exposure Data Modeling: Star, Snowflake, SCD?2, Data Vault 2.0 Orchestration: ADF, Glue Workflows, Airflow, Databricks Workflows CI/CD: Azure DevOps / GitHub Actions, secret management

Preferred Experience

Experience in Lakehouse & DWH platforms Experience mentoring or training Cloud certifications preferred

Outcome

Students gain real?world skills in cloud pipelines, Lakehouse, ELT, CDC, streaming, governance, CI/CD, and interview preparation.

Job Type: Part-time

Pay: ₹500.00 - ?1,000.00 per hour

Expected hours: 10 per week

Work Location: In person