At a Glance
- Tasks: Train aspiring data professionals in Big Data technologies and create engaging learning materials.
- Company: Join a leading data training company with a passion for innovation.
- Benefits: Competitive salary, flexible online training, and opportunities to lead industry events.
- Other info: Dynamic role with opportunities for continuous learning and career growth.
- Why this job: Make a real impact by empowering others to master data skills and technologies.
- Qualifications: 4+ years in Big Data, experience in training, and strong problem-solving skills.
Job Type: Online Training & Visit On Client Site If required.
Experience: 4 to 10 years - Relevant experience
Salary: INR 50,000 To 80,000 Per Month
Qualification:
Are you passionate about solving problems through data? Have you spent 4+ years solving business problems through data? Do you aspire to take data related products to millions of people out there? Can the leader in you make people follow data profiles out of sheer passion? Would you enjoy helping/training people solve problems?
Key Responsibilities:
- A team of best data professionals and thought leaders from the industry.
- Disciplined entrepreneurship within the team. Each person is the owner of his own work - you set the milestones, the pace and the achievements.
- High standards, deep passion for data products and a commitment to finding out ways to make things work.
- Person with 4+ years of experience in Big Data. The person should have prior experience with training and practical data engineering applications.
- Having experience in Big Data and Cloud Technologies such as AWS, Apache Spark, HBase, Hadoop, MapReduce, HDFS, Hive YARN, Kafka, Zookeeper, Java, Python and Scala.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Having a good understanding of machine learning landscape and concepts.
- Ability to quickly grasp new technologies and products and create training programs to increase adoption.
- Ability to translate technical content into videos, tutorials, online courses.
- Deep experience in tools like R/Python and machine learning/predictive modelling techniques/Algorithms.
- Strong problem-solving skills.
- Delivering and creating content for offline and online workshops.
- Continuously learning new skills and evangelizing them within our community.
- Defining and leading our strategy in making data engineering skills easy and accessible to all.
- Create scalable training material that can be distributed and maintained for multiple customers.
- Leading industry events, meetups and webinars.
- Develop custom data models and algorithms to apply to real-life use cases.
Big Data Trainer - Hadoop/Python/R employer: Ekascloud
Join a dynamic team of data professionals dedicated to empowering individuals through innovative training in Big Data technologies. With a strong emphasis on disciplined entrepreneurship, our work culture fosters ownership and creativity, allowing you to set your own milestones while contributing to meaningful projects. Located in a vibrant tech hub, we offer competitive salaries, continuous learning opportunities, and the chance to lead industry events, making us an exceptional employer for those passionate about data and education.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Trainer - Hadoop/Python/R
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Big Data Trainer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your training materials or projects you've worked on. We want to see how you can make complex data concepts easy to understand for others.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by running through common questions related to Big Data and training. We suggest doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Big Data Trainer - Hadoop/Python/R
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data shine through! We want to see how you've tackled real-world problems using data and how that passion can inspire others.
Tailor Your Experience:Make sure to highlight your relevant experience in Big Data and training. We’re looking for someone who can translate complex concepts into easy-to-understand content, so give us examples of how you've done this before!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without getting lost in the details.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Ekascloud
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Hadoop, Python, and R. Brush up on your knowledge of data engineering applications and be ready to discuss how you've used these tools in real-world scenarios.
✨Showcase Your Training Experience
Since the role involves training others, prepare examples of your past training experiences. Think about how you’ve made complex topics accessible and engaging for learners. Be ready to share specific outcomes from your training sessions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Prepare to discuss challenges you've faced in data projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Your Passion for Data
Let your enthusiasm for data shine through! Talk about personal projects or initiatives where you’ve applied your skills. Showing genuine passion can set you apart and resonate with interviewers who value a commitment to the field.
