Data Science/Engineering Trainer

Data Science/Engineering Trainer

• Deliver in-person classroom/online training on

  Data Science

  ,

  Data Engineering

  , and related tools and technologies.
• Design course content, hands-on labs, case studies, and capstone projects aligned with industry standards.
• Teach tools and concepts such as:

• Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Power BI/Tableau

• Big Data (Spark, Hadoop)

  and

  Data Pipelines

• Cloud Platforms

  : AWS (Glue, S3, Redshift), Azure (ADF, Synapse), or GCP (BigQuery, Cloud Composer)

• ETL tools

  ,

  Data Warehousing

  ,

  MLOps

  , and

  DevOps

• Conduct assessments, code/project reviews, and support students with guidance and doubt resolution.
• Mentor students on interview preparation, career path, and hands-on project development.
• Continuously update training materials based on technology trends and feedback.

Required Skill:

• 3+ years of experience in

  Data Science

  or

  Cloud Data Engineering

  roles(training/development).
• Strong coding skills in Python and SQL.
• Hands-on knowledge of at least one cloud platform (

  AWS

  ,

  Azure

  , or

  GCP

  ).
• Solid understanding of ML lifecycle, data lake/warehouse concepts, and ETL/ELT.
• Excellent presentation and communication skills.

Nice to have :

• Certifications in AWS, GCP, or Azure (Data Engineering/AI/ML).

What we Offer :

• Competitive salary and performance-based incentives.
• Work with senior architects and domain experts.
• Opportunity to contribute to real projects and mentor students for live industry challenges.
• Collaborative and growth-focused work environment.
• Flexibility to work from home.