Senior Data Engineer & Cloud Data Platform Trainer

Company overview

360DigiTMG is a pioneering EdTech organization known for upskilling professionals in Data Science, AI, and emerging technologies through industry-aligned certification programs. With Hyderabad as its main India office, the company focuses on practical, market-relevant training that prepares learners for real-world roles in a dynamic business environment.​

Key Responsibilities

• Deliver multi‑cloud data engineering training (fundamentals to advanced) with a primary focus on Azure and exposure to AWS and GCP.
• Teach batch, streaming, and CDC pipelines, as well as modern Lakehouse architectures.
• Build and demonstrate real‑world use cases in Azure, AWS, GCP, Databricks, and Snowflake.
• Conduct hands‑on labs, code reviews, architecture walkthroughs, and best‑practice sessions.
• Guide students on data modeling, orchestration, monitoring, and CI / CD for data pipelines.
• Mentor students for interviews, technical assessments, and industry project execution.
• Design and deliver modules on Apache Kafka covering fundamentals, real‑time streaming use cases, producers / consumers, topics / partitions, consumer groups, and integration with cloud data platforms and Spark.
• Implement Kafka‑based streaming pipelines end‑to‑end, including reliability, scalability, and monitoring best practices.
• Introduce and apply big data processing frameworks such as Apache Spark (with strong focus on PySpark) for ETL / ELT, batch and streaming workloads.
• Teach PySpark for data transformations, optimization, and integration with Delta Lake, Kafka, and cloud storage.
• Use Apache Airflow (and other orchestrators) to design, schedule, and monitor data workflows and demonstrate DAG best practices.
• Incorporate dbt into the modern data stack to teach SQL‑based transformations, modular data modeling, testing, and documentation in cloud DWH / Lakehouse environments.
• Continuously update course content, labs, and projects to reflect evolving best practices in cloud, big data, and Lakehouse ecosystems.

Core Technical Expertise

Preferred Experience

Outcome

Students gain real‑world, job‑ready skills in :