Hadoop Developer Trainer (with Expertise in Sqoop & Scala)

Location: Remote (Work from Home)

Job Type: Full-Time/Part-Time

Working Hours: Flexible hours, including weekends (if necessary)

Job Summary: We are seeking an experienced and dynamic Hadoop Developer Trainer with expertise in Sqoop and Scala to join our team. As a Hadoop Developer Trainer, you will be responsible for delivering high-quality training on Hadoop technologies and its ecosystem. You will also cover key tools like Sqoop for data transfer between Hadoop and relational databases, as well as Scala for advanced data processing. The ideal candidate should have in-depth knowledge of Hadoop components, including HDFS, MapReduce, Hive, Pig, Spark, and other big data tools, and be passionate about teaching and mentoring aspiring data engineers and developers.

Key Responsibilities:

• Training & Course Delivery:
• Conduct instructor-led training sessions on Hadoop, Sqoop, Scala, and the entire Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, Spark).
• Develop, update, and improve training materials, including presentations, handouts, and coding exercises.
• Create a conducive learning environment for students to understand Hadoop, Sqoop, and Scala concepts and apply them in real-world scenarios.
• Content Development:
• Design training modules, curriculum, and practical exercises to teach Hadoop, Sqoop, Scala, and related big data technologies.
• Stay updated with the latest developments in Hadoop, Scala, and Sqoop and incorporate them into training sessions.
• Hands-on Support:
• Provide practical examples, live demos, and hands-on sessions for Hadoop, Sqoop, and Scala, helping learners master skills for real-world data processing and transfer tasks.
• Assist students with coding challenges and real-world problem-solving during training sessions.
• Student Assessment:
• Assess the progress of trainees and provide constructive feedback to help them improve.
• Prepare assignments, quizzes, and projects to evaluate learner understanding and knowledge in Hadoop, Sqoop, and Scala.
• Student Support & Mentorship:
• Answer students' questions related to Hadoop, Sqoop, and Scala, providing additional support as needed.
• Offer career guidance and mentorship to students aspiring to work as Hadoop developers, data engineers, or data scientists.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Experience:
• Proven experience as a Hadoop Developer or Big Data Engineer with hands-on expertise in Hadoop, Sqoop, Scala, and other big data technologies.
• Prior experience in training, teaching, or mentoring students in Hadoop or Big Data technologies is highly desirable.
• Technical Skills:
• Expertise in Hadoop ecosystem tools, including HDFS, MapReduce, Apache Hive, Apache Pig, Apache Spark, and YARN.
• Proficient in Sqoop for data transfer between Hadoop and relational databases.
• Strong hands-on experience with Scala for big data processing and development.
• Experience in setting up and managing Hadoop clusters.
• Familiarity with related technologies such as HBase, Sqoop, Flume, and Zookeeper.
• Communication Skills:
• Excellent verbal and written communication skills, with the ability to explain complex technical concepts in a simple and clear manner.
• Strong presentation skills, capable of engaging and educating students.
• Personal Traits:
• Patience and empathy for learners with different levels of understanding.
• Strong problem-solving and troubleshooting skills.
• Self-motivated and capable of working independently.

Preferred Skills:

• Certification in Hadoop, Sqoop, or Scala, or related Big Data technologies (e.g., Cloudera Certified Hadoop Developer).
• Prior experience with cloud-based Hadoop services (AWS EMR, Azure HDInsight, Google Cloud Dataproc).
• Familiarity with data engineering tools and pipelines.

Working Conditions:

• This is a remote position with flexible working hours.
• The trainer will have to conduct online live sessions via video conferencing tools such as Zoom, Google Meet, or other platforms.
• The position requires delivering training on a variety of learning platforms, including Udemy, Coursera, LinkedIn Learning, or our internal company platform.
• Participation in weekly or monthly team meetings to discuss training progress, feedback, and improvement areas.

Compensation:

• Competitive salary based on experience and qualifications.
• Additional perks such as performance bonuses, referral incentives, and opportunities for career advancement.

How to Apply: Please submit your resume, a brief cover letter explaining why you would be a good fit for this role, and any relevant certifications or proof of experience in Hadoop, Sqoop, Scala, and Big Data technologies. Include links to any teaching content or courses you have previously created or delivered (if applicable).