Data Engineering Partner

Designation: Partner

Position: Data Engineering Instructor Mentor (Part-Time)

Job Type: Consultant

Benefits: Revenue distribution or a fixed hourly rate, with potential for performance-based bonuses tied to training outcomes.

Reports to: Founder/CEO

Job Overview

The Data Engineering Mentor will provide strategic training and mentorship to Eduroids' students on a part-time basis, focusing on equipping them with industry-relevant data engineering skills. This role involves conducting hands-on training sessions, developing course material, and offering personalised guidance to students to enhance their technical proficiency and career readiness.

Key Responsibilities

• Training Delivery:
  Conduct weekend training sessions, focusing on data engineering tools, techniques, and best practices.
• Curriculum Development:
  Develop and maintain up-to-date course content aligned with current industry trends and requirements.
• Hands-On Learning:
  Facilitate hands-on projects, exercises, and case studies to give students practical experience in data engineering workflows.
• Mentorship:
  Provide personalized guidance to participants, addressing their questions and helping them master complex concepts.
• Industry Alignment:
  Ensure all training content reflects the latest advancements in data engineering technologies and methodologies.
• Assessment and Feedback:
  Monitor participant progress through assessments and provide constructive feedback to support their improvement.
• Knowledge Transfer:
  Share real-world insights and scenarios to bridge the gap between theory and practical application.

Key Measures

• Student Progress:
  Track participant performance through assessments, aiming for high levels of skill acquisition.
• Industry Relevance:
  Maintain a curriculum that aligns with current data engineering tools, technologies, and practices.
• Feedback Scores:
  Achieve positive feedback ratings from participants for training quality and mentorship.
• Hands-On Projects:
  Ensure all students complete practical projects demonstrating their learning outcomes.

Qualifications

• Education:
  Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Experience:
  • Minimum of 15 years of professional experience as a Data Engineer or in a related role.
  • Must possess real time experience with Fortune 500 companies
  • Proven track record in implementing data pipelines, data modelling, and ETL processes.
• Technical Skills:
  • Proficiency in SQL, Python, and Scala.
  • Expertise with big data frameworks (Hadoop, Spark, Kafka).
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Knowledge of data storage solutions (data lakes, NoSQL, relational databases).
• Soft Skills:
  • Strong communication and presentation skills.
  • Ability to simplify complex concepts for diverse audiences.
  • Passion for teaching and mentoring.

Personal Attributes

• Passionate about knowledge-sharing and professional development.
• Resilient and adaptable, with a focus on continuous improvement.
• Collaborative leader who fosters an engaging and inclusive learning environment.

Benefits

• Competitive compensation based on hourly or project-based engagement.
• Flexible remote working options.
• Opportunity to shape the next generation of data engineering professionals.
• Collaborative and innovative work culture.