Data Engineer Instructor

2 - 3 years

3 - 6 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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 Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
23 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.

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