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

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

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

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

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

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

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

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

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  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

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

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

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  Proven experience in corporate training or client-facing roles.

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  Strong proficiency in:

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  Programming: Python, SQL

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

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

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

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

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  Visualization Tools: Power BI, Tableau, Matplotlib, Seaborn

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

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

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

Preferred Qualifications

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

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

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

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

Benefits

What We Offer

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  Competitive compensation with performance-based incentives.

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  Opportunities for professional growth and certification sponsorship.

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  Work with leading corporate clients and professional learners across industries.

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