Tech Trainer
Core
Design, develop, and deliver hands-on technical training programs for cloud data engineering, modern lakehouse architectures, and database administration to upskill fresh graduates and experienced professionals.
Role type
Senior Technical Trainer (Data Engineering & Database Administration)
Builds
Corporate training curriculums, instructional decks, and sandbox lab environments for data engineering and DBA roles.
Domain
Cloud Data Engineering, Lakehouse Architectures, Database Administration
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Databricks, Apache Spark (PySpark), SQL, PL-SQL, Python, Unix/Linux shell scripting, Cloud platforms (Azure, GCP, AWS), Data Warehousing (Snowflake, BigQuery), ETL/ELT methodologies, Database tuning
Preferred skills
Databricks Certified Data Engineer, Azure Data Engineer Associate, Oracle Certified Professional
Technologies
Databricks, Apache Spark, Delta Lake, Unity Catalog, Snowflake, BigQuery, Azure Data Factory, Synapse Analytics, Informatica PowerCenter, Oracle, MySQL, SQL Server, PostgreSQL, Python, Java, C
Responsibilities
Lead advanced, hands-on instructional cohorts for heterogeneous batches; Deliver deep-dive training on Databricks, Spark, and Lakehouse architectures; Instruct on end-to-end data pipelines across multi-cloud ecosystems; Teach database concepts, performance tuning, and operational automation; Build and maintain rigorous technical syllabi and sandbox lab architectures; Measure and monitor cohort technical performance using metrics-based scorecards.
Seniority
Senior, hands-on IC