Data Engineer Instructor

About the Role

We are seeking a highly skilled Data & AI Instructor who can train working professionals and collaborate directly with clients to understand their business requirements and deliver customized data-driven solutions. The ideal candidate will have strong hands-on expertise in data science, AI, and data engineering, along with the ability to communicate effectively with corporate teams and adapt content for professional learners.

Key Responsibilities

• Deliver impactful training sessions for corporate professionals on Data Science, Machine Learning, Artificial Intelligence, and Data Engineering topics.
  

• Work closely with clients to identify business needs, design relevant technical learning programs, and support solution implementation.
  

• Lead corporate training programs, workshops, and consulting sessions tailored for professionals in the data and AI domain.
  

• Take ownership of client engagements, including requirement gathering, project understanding, and technical delivery.
  

• Develop and update curriculum content, case studies, and hands-on projects that align with real-world business scenarios.
  

• Mentor professionals on applying data-driven strategies to solve organizational challenges.
  

• Support clients in implementing and optimizing data pipelines, AI models, and analytics workflows.
  

• Stay current with emerging technologies in AI, Big Data, Cloud, and Data Engineering to ensure up-to-date training and consulting practices.
  

Requirements

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  

• 2–3 years of experience in Data Science, Data Engineering, or AI consulting/training roles.
  

• Proven experience in corporate training or client-facing roles.
  

• Strong proficiency in:
  

  • Programming: Python, SQL
    

  • Data Science Libraries: NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch
    

  • Data Engineering Tools: Apache Spark, Airflow, Kafka, or similar frameworks
    

  • Databases: MySQL, PostgreSQL, MongoDB, or equivalent data stores
    

  • Cloud Platforms: AWS, Azure, or Google Cloud (S3, BigQuery, Redshift, Dataflow)
    

  • Visualization Tools: Power BI, Tableau, Matplotlib, Seaborn
    

• Deep understanding of ETL/ELT pipelines, data warehousing, and machine learning model deployment.
  

• Excellent communication and presentation skills for professional and executive-level audiences.
  

• Ability to manage multiple client engagements and deliver training outcomes on time.
  

Preferred Qualifications

• Experience in corporate training, consulting, or professional development programs.
  

• Exposure to MLOps, AI model deployment, and CI/CD for ML pipelines.
  

• Knowledge of data governance, data quality, and compliance frameworks.
  

• Professional certifications such as AWS Data Engineer, Azure Data Scientist, or Google Cloud AI Engineer.
  

Benefits

What We Offer

• Competitive compensation with performance-based incentives.
  

• Opportunities for professional growth and certification sponsorship.
  

• Work with leading corporate clients and professional learners across industries.
  

• Collaborative and innovative environment that values practical application and impact-driven learning.