Are you passionate about PySpark and love sharing knowledge? We are looking for an experienced PySpark Instructor with 3+ years of industry experience to join our team at ANALYTICS📊WITH🕺ANAND
If you have a strong background in big data processing, distributed computing, and Spark optimization techniques, we would love to hear from you.
📌 Role: PySpark Trainer 📌 Experience: 3+ Years 📌 Mode: Remote / Part-time / Full-time (Flexible) 📌 Location: Open to all 📌 Requirements: ✔️ Hands-on expertise in Apache Spark & PySpark ✔️ Strong understanding of data engineering & distributed systems ✔️ Experience in training, mentoring, or conducting workshops ✔️ Ability to explain complex concepts in an easy-to-understand manner
💼 If you're interested or know someone who would be a great fit, drop your CV at 📩 info@analyticswithanand.in or connect with us 📞 +91-8618800846
🚀 Join us in empowering the next generation of data professionals!
ANALYTICS📊WITH🕺ANAND
🔍 We're Hiring! 🚀
Are you passionate about PySpark and love sharing knowledge? We are looking for an experienced PySpark Instructor with 3+ years of industry experience to join our team at ANALYTICS📊WITH🕺ANAND
If you have a strong background in big data processing, distributed computing, and Spark optimization techniques, we would love to hear from you.
📌 Role: PySpark Trainer
📌 Experience: 3+ Years
📌 Mode: Remote / Part-time / Full-time (Flexible)
📌 Location: Open to all
📌 Requirements:
✔️ Hands-on expertise in Apache Spark & PySpark
✔️ Strong understanding of data engineering & distributed systems
✔️ Experience in training, mentoring, or conducting workshops
✔️ Ability to explain complex concepts in an easy-to-understand manner
💼 If you're interested or know someone who would be a great fit, drop your CV at 📩 info@analyticswithanand.in or connect with us 📞 +91-8618800846
🚀 Join us in empowering the next generation of data professionals!
🔗 #Hiring #PySpark #DataEngineering #BigData #Spark #ApacheSpark #Trainer #DataScience #AnalyticsWithAnand #JobOpening #CareerGrowth
6 months ago (edited) | [YT] | 2