Roles & Responsibilities
Deliver training on Data Engineering fundamentals and architectures.
Train on Python / SQL for data processing and analytics.
Teach ETL/ELT concepts, data pipelines, and workflow orchestration.
Provide hands-on training on Apache Spark (PySpark).
Explain data warehousing concepts (Star/Snowflake schema).
Train candidates on Big Data tools: Hadoop, Hive (basic to intermediate).
Cover cloud data platforms: AWS / Azure / GCP (any one).
Teach streaming concepts using Kafka (basic).
Prepare training materials, labs, and real-time use cases.
Conduct assessments, mock interviews, and placement-oriented sessions.
Mentor trainees on best practices, performance tuning, and career paths. Required Skills
Strong knowledge of Python & SQL.
Hands-on experience with Apache Spark / PySpark.
Solid understanding of ETL tools and data pipelines.
Experience with relational & NoSQL databases.
Good understanding of data modeling & data warehousing.
Familiarity with Linux & Git.
Strong communication and presentation skills.
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