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 .