Data Engineer Instructor

DataCouch Pvt Ltd.; Sahibzada Ajit Singh Nagar; On-site; INR 900,000 - 1,400,000; Full time

Job summary

DataCouch Pvt Ltd. is seeking a skilled Data & AI Instructor to train working professionals and collaborate with clients to tailor data-driven solutions.

You will design learning programs, deliver sessions on Data Science, ML, and Data Engineering, and mentor professionals to apply data-driven strategies. The role involves direct client engagement, updating curricula with real-world case studies, and staying current with AI, big data, cloud, and analytics trends to ensure effective, up-to-date

Qualifications

• Bachelor's or Master's in CS/Data Science/AI or related field.
• 2–3 years in Data Science/Data Engineering or AI consulting/training roles.
• Proven corporate training or client-facing experience.

Responsibilities

• Deliver training sessions on Data Science, ML, AI, and Data Engineering to professionals.
• Collaborate with clients to identify needs and design learning programs.
• Lead corporate training programs, workshops, and consulting sessions.

Skills

Python

SQL

Data Science

Machine Learning

Data Engineering

Communication

Presentation

Education

Bachelor's in CS/DS/AI

Master's preferred

Tools

Apache Spark

Airflow

Kafka

TensorFlow

PyTorch

Power BI

Tableau

Job description

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.

Requirements: