Subject Matter Expert and Trainer - Spark on AWS

Subject Matter Expert (SME) and Trainer - Data & Analytics with Spark on AWS

We wanted to inform you about an upcoming mentoring/training requirement aimed at fostering skill development and knowledge sharing within the team of our client.

About the Role:We are seeking a knowledgeable and experienced Subject Matter Expert (SME) and Trainer in Data & Analytics, specializing in Spark and AWS technologies. The successful candidate will design and deliver comprehensive training programs, mentor learners, and provide expertise on data engineering and analytics solutions.Location: Mumbai

Responsibilities:

• Develop and deliver in-depth training programs on Data & Analytics with a focus on Spark and AWS services.
• Create training materials, including presentations, hands-on labs, and documentation, tailored to different skill levels.
• Conduct live training sessions, workshops, and webinars for diverse audiences, including data engineers, analysts, and other stakeholders.
• Mentor and support learners through their development journey, providing expert advice and feedback.
• Collaborate with internal teams to understand training needs and customize programs accordingly.
• Stay updated with the latest trends and best practices in data engineering, big data technologies, and AWS services.
• Provide subject matter expertise for projects involving Spark and AWS, guiding teams on architecture, implementation, and optimization.
• Evaluate the effectiveness of training programs through assessments, feedback, and continuous improvement processes.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 5+ years of experience in data engineering with a focus on Spark, PySpark, and AWS services.
• Proven experience in designing and delivering technical training programs.
• In-depth knowledge of AWS services such as AWS Glue, EMR, Lambda, S3, Redshift, and IAM.
• Strong proficiency in SQL, Python, and/or Scala for data processing.
• Familiarity with data governance, security practices, and compliance standards in cloud environments.
• Excellent communication and presentation skills with the ability to explain complex concepts in an accessible manner.
• Experience with data pipeline orchestration tools (e.g., Apache Airflow) and CI/CD practices.

Preferred Skills:

• AWS certifications, such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
• Experience with data warehousing solutions such as Amazon Redshift and/or Snowflake.
• Knowledge of data visualization tools and BI platforms (e.g., Tableau, QuickSight).
• Prior experience in a teaching or mentoring role within a professional setting.

Job Type

Payroll

Categories

Cloud Architects (Software and Web Development)

Data Engineer (Software and Web Development)

Data Scientist (Software and Web Development)

Trainers (Education & Instruction)

Technical Consultants (Information Design and Documentaion)

Must have Skills

• Apache Spark - 4 Years
• Beginner
• Teaching/Lecturing - 1 Years
• Beginner
• Python - 4 Years
• Beginner
• SQL - 4 Years
• Beginner
• MongoDB - 4 Years
• Beginner
• subject matter expert - 5 Years
• Beginner
• AWS - 4 Years