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Expert Data Developer @
1 week ago
To succeed in this role, we believe that you:
- Are collaborative and achieve your expectations through communication and teamwork
- Are curious, responsive and can understand the needs of others to ensure delivery of the desired results
- Work qualitatively and strive to always do things better
- Have a high level of self-motivation
As a Lead Data Engineer/Developer, you are expected to have:
- Experience in Spark & Scala - minimum 5 years
- Experience in Python - minimum 7 years
- Experience in Linux - minimum 5 years
- Experience with distributed data processing engines like Spark
- Experience with Hadoop and (Hive, Oozie, map reduce, ect)
- Strong/Advanced SQL skills
- Previous experience in creating data flows
- BitBucket and GIT expert
- AWS certification or experience
- Unit testing Experience (Junit 5, Mockito, Spark testing)
- Advanced English skills
Nice to have:
- Code versioning strategy & Branching strategy
- Familiar with Agile/Safe framework
As Expert Data Engineer you will be building data systems and applications to support decision making processes.
You will also focus on developing and maintaining data pipelines in public clouds like AWS.
You will be participating in data migration from on-premise to public clouds and building components for central enterprise data platforms.
This position will require advanced technical depth and experience, technical leadership, and multi-faceted communication skills.
,[Building distributed and highly parallelized Big data processing pipeline which process massive amount of data (both structured and unstructured data) in near real-time, Leveraging Spark to enrich and transform corporate data to enable searching, data visualization, and advanced analytics, Working closely with analysts and business stakeholders to develop analytics models, Continuous delivering on Hadoop and other Big Data Platforms, Automating processes where possible and are repeatable and reliable, Working closely with QA team] Requirements: Spark, Scala, Python, Hadoop , Kafka, Linux, SQL, AWS, Bitbucket, Unit testing Additionally: Sport subscription, Private healthcare, Flat structure.