Data & AI Instructor

This role is for one of the Weekday's clients

Min Experience: 2 years

Location: Mohali

JobType: full-time

We are looking for a passionate and knowledgeable Data & AI Instructor with 2–3 years of hands-on industry experience to train and mentor learners in data engineering and big data technologies. The ideal candidate will have strong expertise in Data concepts, Big Data ecosystems, Databricks, and PySpark , along with a genuine interest in teaching and knowledge sharing. This role focuses on delivering practical, industry-relevant training that bridges the gap between theory and real-world data applications.

Requirements

Key Responsibilities

• Design, develop, and deliver high-quality training sessions on Data Engineering and AI fundamentals , with a strong focus on Big Data technologies.
• Teach core and advanced concepts of Big Data , including distributed data processing, data pipelines, and scalable data architectures.
• Conduct hands-on training on Databricks , covering workspace management, notebooks, Delta Lake, data ingestion, and optimization techniques.
• Train learners on PySpark , including Spark architecture, RDDs, DataFrames, Spark SQL, performance tuning, and real-world use cases.
• Create structured course content, lesson plans, assignments, case studies, and real-world projects aligned with industry standards.
• Guide learners through practical labs, debugging exercises, and capstone projects to ensure applied learning.
• Assess learner performance through quizzes, assignments, and project evaluations, providing constructive feedback and mentorship.
• Stay up to date with the latest trends in data engineering, big data platforms, and AI-driven data solutions , and continuously improve curriculum content.
• Support learners with doubt resolution, career guidance, and best practices for real-world data projects.
• Collaborate with internal teams to improve training delivery, learning outcomes, and overall program quality.

Required Skills & Qualifications

• 3–5 years of professional experience working in Data Engineering, Big Data, or related roles .
• Strong understanding of data fundamentals , including data modeling, ETL/ELT processes, and data pipelines.
• Hands-on experience with Big Data technologies , especially Apache Spark–based ecosystems.
• Proven expertise in Databricks , including PySpark development, notebook workflows, and Delta Lake concepts.
• Strong programming skills in PySpark and Python, with the ability to explain concepts clearly and effectively.
• Experience working with large-scale datasets and distributed data processing systems.
• Good communication and presentation skills, with the ability to explain complex technical concepts to learners at different skill levels.
• Prior teaching, mentoring, or training experience is a strong plus.

What We’re Looking For

• A strong passion for teaching and mentoring aspiring data professionals.
• Ability to simplify complex data concepts and make learning engaging and practical.
• Industry-oriented mindset with a focus on real-world problem-solving.
• Self-driven, adaptable, and eager to continuously learn and improve.