Data Engineer

DataCouch; Chandigarh; On-site; INR 600,000 - 800,000; Full time

Benefits offered by this job

Competitive compensation with performance-based incentives

Certification sponsorship

Job summary

A Data and AI Educational Institute in Chandigarh is seeking a highly skilled Data, AI, and Data Engineering Instructor to provide training to corporate professionals. The ideal candidate will possess 2–3 years of experience in relevant fields and a strong command of data science methodologies. Responsibilities include leading training programs, developing curriculum, and mentoring professionals on data-driven strategies. Competitive compensation and opportunities for professional growth are offered.

Qualifications

• 2–3 years of experience in Data Science or AI consulting.
• Proven experience in corporate training or client-facing roles.
• Excellent communication and presentation skills.

Responsibilities

• Deliver training sessions on Data Science and ML topics.
• Work with clients to design relevant technical learning programs.
• Update curriculum content and hands-on projects.

Skills

Data Science

Machine Learning

Artificial Intelligence

Data Engineering

Python

SQL

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

Apache Spark

AWS

Azure

Google Cloud

Job description

Job Title: Data, AI & Data Engineering Instructor

Experience Required: 2–3 years

Employment Type: Full-Time

About the Role

We are seeking a highly skilled Data, AI, and Data Engineering 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.

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)
• 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.

Seniority level: Not Applicable

Employment type: Full‑time

Job function: Training, Education, and Customer Service

Industries: Education and IT Services and IT Consulting