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?
KRAs:
- 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.
- A person with 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 in London employer: Ekascloud
Join a dynamic team of data professionals where your passion for data can flourish. We offer a collaborative work culture that encourages disciplined entrepreneurship, allowing you to take ownership of your projects and set your own milestones. With opportunities for continuous learning and growth, as well as the chance to lead industry events and create impactful training materials, this role is perfect for those looking to make a meaningful impact in the world of Big Data.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Trainer - Hadoop/Python/R in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, and events related to Big Data. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects and training materials. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your expertise in Hadoop, Python, and R!
✨Practice Makes Perfect
Before any interview, practice common questions and scenarios you might face. Role-play with a friend or record yourself to refine your delivery. Confidence is key, and we want you to nail it!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you a better chance but also keeps you in the loop about upcoming opportunities in the Big Data space!
We think you need these skills to ace Big Data Trainer - Hadoop/Python/R in London
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 translate into training others.
Tailor Your Experience:Make sure to highlight your relevant experience in Big Data and training. We’re looking for someone who can connect with our audience, so share specific examples of how you've trained others or created engaging content.
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 wading through fluff!
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 pipeline tools and machine learning concepts, as you might be asked to explain how you’ve used them in past projects.
✨Showcase Your Training Experience
Since this role involves training others, prepare examples of your previous training sessions or workshops. Highlight your ability to simplify complex topics and engage your audience, as this will demonstrate your passion for teaching and problem-solving.
✨Prepare Real-Life Use Cases
Think of specific projects where you applied big data solutions to solve business problems. Be ready to discuss these use cases in detail, focusing on the challenges you faced and how you overcame them using your technical skills.
✨Emphasise Continuous Learning
This role values a commitment to learning new skills. Share how you stay updated with industry trends and technologies, whether through online courses, webinars, or community involvement. This shows your dedication to personal growth and your ability to adapt.
