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Lead Big Data Engineer for a Streaming Service Provider
Expired job
We are currently looking for a remote Lead Big Data Engineer with 5+ years of data engineering experience and good command of Apache Flink and Apache Spark to join our team.
The customer is an American subscription video on demand service controlled and majority-owned by the business segment consisting of streaming services and overseas media businesses of one of the world's biggest mass media and entertainment conglomerate.
responsibilities
- Work with the team to build a streaming platform from scratch
- Create and maintain data pipelines and warehouses systems to power the best user experience through effective data processing
- Work on building out the core backend services
- Contribute to the design, architecture, and development of critical backend services
- Build highly scalable and available systems that are well tested and maintainable
- Collaborate with other team members to achieve product and business requirements
- Experiment with new technologies scale for the future
requirements
- 5+ years of data engineering experience
- Strong background and experience with streaming and big data tools and technologies such as Flink, Samza, Spark, Hadoop, Storm and Kafka Streams
- Experience with data model design and data warehouse
- Good command of Java 8 or above
- Hands-on experience with Spring Framework, especially Spring Boot
- Solid AWS skills
- SQL and NoSQL databases working experience
- Extensive experience building highly scalable, reliable and maintainable services
- Ample experience working with large scale distributed data processing
- English level - B1+
- Excellent problem-solving and communication skills
- 1+ year of relevant leadership experience
nice to have
- Experience with Amazon Kinesis and EMR
benefits for locations
Greece
For you
- Paid time off
- Paid sick leave days
- Stable income
- Meal and home office compensation
For your comfortable work
- 100% remote work
- Hybrid work opportunities
- Free licensed software
- Possibility to work on your own device (BYOD)
- Stable workload
- Relocation opportunities
- Flexible engagement models
For your growth
- Free trainings for technical and soft skills
- Free access to LinkedIn Learning platform
- Free access to internal and external e-Libraries
- Certification opportunities
- Skill advisory service
- Language courses
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