About the role
About Claroda:
Claroda helps organizations turn modern data and AI platforms into real business outcomes. We’ve seen firsthand how easily powerful platforms can become complex roadblocks. That’s why we’ve dedicated our expertise to one mission: helping organizations transform platform potential into real-world business outcomes. Whether you’re scaling AI or refining your data foundation, Claroda simplifies the journey. We don't just build platforms; we build the bridge between technical capability and the outcomes that truly matter to your stakeholders.
Job Description
Job Title: Technical Trainer Data Engineering-Snowflake
Job Type: Freelancing (3-4 hours per day)
Job Summary
We are looking for a passionate and skilled Technical Trainer Data Engineering to train freshers and entry-level professionals in core data engineering concepts. The ideal candidate should have strong hands-on experience in Python, SQL, and a good understanding of modern data engineering tools and workflows. Experience with Snowflake is highly preferred. The trainer will be responsible for delivering structured training programs, mentoring learners, and helping them build industry-ready skills.
Key Responsibilities
Deliver instructor-led training sessions on Data Engineering fundamentals
Teach Python for data processing, including libraries and best practices
Train learners on SQL, covering queries, joins, subqueries, performance tuning, and real-world use cases
Introduce concepts of ETL/ELT pipelines, data warehousing, and data modeling
Conduct hands-on labs, assignments, and mini-projects
Guide learners in understanding Databricks or Snowflake, Apache Spark basics, and big data concepts
Evaluate learner performance through assessments, quizzes, and projects
Provide mentoring, doubt-clearing sessions, and career guidance to freshers
Continuously update training material based on industry trends
Collaborate with internal teams to improve curriculum quality and delivery
Required Skills & Qualifications
2–6 years of experience in Data Engineering, Data Analytics, or related roles
Strong proficiency in Python
Excellent knowledge of SQL (MySQL, PostgreSQL, SQL Server, or similar)
Good understanding of data engineering concepts (ETL, pipelines, data lakes, data warehouses)
Experience training or mentoring freshers or entry-level candidates
Strong communication and presentation skills
Ability to explain complex technical concepts in a simple and practical manner
Preferred Skills
Hands-on experience with Snowflake
Basic knowledge of Apache Spark
Exposure to cloud platforms (AWS, Azure, or GCP)
Experience creating training content, documentation, or labs
Familiarity with version control tools like Git
Who Should Apply
Professionals who enjoy teaching and mentoring
Data engineers or developers interested in knowledge sharing and training roles
Trainers who are comfortable working with beginners and fresh graduates