Role Overview
We are seeking an experienced, highly articulate, and hands-on Technical Trainer to design, develop, and deliver robust training programs across our cloud data engineering, modern lakehouse architectures, and database administration practices. In this role, you will lead technical upskilling initiatives for both fresh graduates and experienced professionals, converting complex operational architectures into structured, production-ready corporate
curriculam.
The ideal candidate possesses practical, real-world experience across multi-cloud ecosystems (Azure, GCP, AWS), data lakehouse architectures (Databricks), up-to-date data warehousing systems (Snowflake, BigQuery), traditional relational databases (Oracle, MySQL, SQL Server), and core ETL/ELT methodologies.
Experience Requirement: 6–12 Years
Employment Type: Full-Time
Core Responsibilities:
Classroom Instruction & Learning Delivery
Technical Lecture & Lab Facilitation: Lead advanced, hands-on instructional cohorts for heterogeneous batches,
adapting delivery formats seamlessly for fresh engineering graduates up to seasoned IT specialists.
Databricks & Lakehouse Architectures: Deliver deep-dive training on Apache Spark, PySpark, Databricks Workspaces, Delta Lake, and Unity Catalog. Teach cohorts how to build scalable, optimized batch and streaming data pipelines within a lakehouse framework.
Cloud Data Architecture: Instruct on end-to-end data pipelines using Microsoft Azure (Data Factory, Synapse Analytics), Google Cloud Platform (BigQuery, Compute Engine, GKE), and AWS foundational data services.
Data Warehousing & ETL Frameworks: Deliver comprehensive curricula on up-to-date cloud data warehouses like Snowflake alongside legacy ETL middleware systems such as Informatica PowerCenter.
RDBMS & Production DBA Operations: Teach deep-dive database concepts across Oracle (11g/12c/19c), Microsoft SQL Server, MySQL, and PostgreSQL. Provide training on performance tuning, SQL/PL-SQL execution structures (stored p
📌 Tech Trainer Hyderabad (India)
🏢 Koantek
📍 India