Data Engineer Instructor

• *Job Information**
• ------------------

• Date Opened 10/27/2026
• Job Type Full time
• Industry Education
• Work Experience 1\-3 years
• City S.A.S.Nagar (Mohali)
• State/Province Punjab
• Country India
• Zip/Postal Code 160062
• *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.