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Aryavart Institute of Technology and Management

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Big Data Trainer

Aryavart Institute of Technology

based on 2 Reviews

2-5 years

Supaul

1 vacancy

Big Data Trainer

Aryavart Institute of Technology and Management

posted 6mon ago

Key skills for the job

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Course Development: Design and develop in-depth training programs in big data, catering to various skill levels, including beginner, intermediate, and advanced learners. Topics include big data architecture, Hadoop, Spark, NoSQL databases, data warehousing, and real-time data processing.
Content Creation: Create and update instructional materials such as presentations, coding exercises, datasets, and case studies that reflect current big data practices and technologies.
Training Delivery: Conduct live, interactive training sessions via online platforms, focusing on essential big data skills such as data ingestion, storage, processing, and analysis.
Student Assessment: Evaluate student performance through quizzes, assignments, and practical projects. Provide detailed feedback to enhance their understanding and application of big data concepts.
Support and Mentorship: Offer personalized support to students, addressing their questions and helping them troubleshoot issues related to big data technologies, tools, and methodologies.
Continuous Improvement: Stay updated with the latest trends and advancements in big data, including new tools, technologies, and best practices, and incorporate these into the training curriculum.

Qualifications:

For Experienced Professionals:

Experience: Minimum of 2-5 years of professional experience in big data technologies, with hands-on experience in tools like Hadoop, Spark, Hive, Pig, and NoSQL databases (e.g., MongoDB, Cassandra).
Teaching Experience: Previous experience in teaching or training, particularly in a freelance or remote capacity, is highly desirable.
Technical Skills: Proficiency in big data tools and technologies, data processing frameworks, and programming languages such as Java, Python, or Scala. Experience with cloud-based big data services (e.g., AWS EMR, Google BigQuery) is a plus.
Certifications: Relevant certifications in big data or related fields (e.g., Cloudera Certified Associate, AWS Certified Big Data Specialty) are preferred but not mandatory.
Communication Skills: Strong communication skills with the ability to explain complex big data concepts in an accessible and engaging manner.

For Freshers:

Education: A degree or certification in Big Data, Data Science, Computer Science, Engineering, or a related field.
Technical Skills: Basic knowledge of big data technologies and tools, gained through academic coursework, internships, or personal projects. Familiarity with Hadoop, Spark, or NoSQL databases is a plus.
Passion for Teaching: A strong interest in teaching and mentoring students in big data, with a commitment to developing effective training methods.
Communication Skills: Excellent verbal and written communication skills, capable of making complex big data topics understandable to diverse audiences.