Big Data Trainer - Hadoop/Python/R London, England
Ekascloud
Full Time
London, England
23328 - 42000 GBP ANNUAL Today
Job description
- 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 :
Job Description
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.
Essential Skills Required
- 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
- Have Ability to quickly grasp new technologies and products and create training programs to increase adoption
- Have the 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
