Data Engineer

Job Title: Data, AI & Data Engineering Instructor

Location: Mohali

Experience Required: 2–3 years

Employment Type: Full-Time

About the Role

Data, AI, and Data Engineering Instructor

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.

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

  .

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

  .