RESPONSIBILITIES:
- Work in tandem with data scientists, building pipelines that transform data into formats they can use for projects
- Assembling large, complex sets of data that meet non-functional and functional business requirements
- Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Defining and leading our strategy in making data engineering skills accessible for our community members
- Continuously learning new tools in Data Engineering and evangelizing them within our community
- Set up Data Engineering labs
- Leading industry events, meetups and webinars
- Develop custom data models and algorithms to apply to real life use cases.
REQUIREMENTS:
- 3+ years of experience in Data Engineering in companies dealing with huge datasets.
- Prior experience with training will be an advantage.
- Having experience in Data Engineering technologies like Apache Spark, Hadoop, HDFS, Hive, Python
- Having experience in one of the Cloud providers - Azure or AWS.
- Experience with relational SQL and NoSQL databases.
- Experience with data pipeline and workflow management
- Have Ability to quickly grasp new technologies and products and create training programs to increase adoption
- Strong problem solving and communication skills (English).
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