PySpark |amp| Azure cloud Trainer
- Category: Work from home Jobs
- Location: Pune, Maharashtra
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 21K to 22K
- Published on: 2025/09/21
PlanetSpark
Teacher -English
PlanetSpark • India • via LinkedIn
1+ hours ago
Part-time
No Degree Mentioned
Apply on LinkedIn
Job description
Shifts timing: Work from Home
• Should be available for:4 am to 8 am IST(US/Canada Kids)*
The importance of the international shift lies in catering to US/Canada kids, expanding reach and impact.
Payout for this international shift is 40% higher than the Indian shift, acknowledging the additional commitment and effort required.
Eligibility Criteria:
1. Excellent Verbal and written communicatio...
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JVM Institute Pune
PySpark & Azure cloud Trainer
JVM Institute Pune • India • via LinkedIn
14 hours ago
Full–time
Apply on LinkedIn
Job description
Company Description
JVM Institute in Pune offers a comprehensive 6-month Data Engineering program designed to enhance data skills. The program covers advanced data processing techniques, Big Data technologies, and real-world data pipeline projects. With expert instructors, hands-on training, and a cutting-edge curriculum, JVM Institute guarantees placement after completion.
Role Description
This is a full-time remote role for a PySpark & Azure cloud Trainer at JVM Institute. The Trainer will be responsible for delivering training on PySpark and Azure cloud technologies, creating engaging learning materials, conducting hands-on exercises, and providing guidance to students. The Trainer will also need to assess student progress and adapt teaching methods to ensure effective learning outcomes.
Qualifications
• Proficiency in PySpark and Azure cloud technologies
• Experience in developing data processing techniques
• Hands-on experience in Big Data technologies
• Strong knowledge of real-world data pipeline projects
• Excellent teaching and communication skills
• Ability to work independently and remotely
• Experience in data engineering or related field
• Bachelor's or Master's degree in Computer Science, Data Science, or relevant field
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