Senior Big Data Engineer
- Bahía Blanca, Argentina
EPAM is committed to providing our global team of 36,700+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers' business, and strive for the highest standards of excellence. In today's new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you'll join a dedicated, diverse community that will help you discover your fullest potential.
You are curious, persistent, logical and clever - a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Senior Big Data Engineer. Scroll down to learn more about the position's responsibilities and requirements.
Our final client is a premium streaming TV destination that seeks to captivate and connect viewers with the stories they love. They create amazing experiences that celebrate the best of entertainment and technology.
We're looking for great people who are passionate about redefining TV through innovation, unconventional thinking and embracing fun. It's a mission that takes some serious smart, intense curiosity and determination to be the best.
We are seeking a Senior Data Engineer to join a new team responsible to build a streaming platform from scratch. The right person for this role is passionate about building systems that are optimized for scalability, efficiency, quality and uptime. If you are someone who gets excited with sub-millisecond service response time and building fault-tolerant systems, then this is a great role for you.
- 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 to make sure we can scale for the future
- 5+ years of 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
- Strong experience with Java 8 or above
- Experience with Spring Framework, specially Spring Boot
- Experience with AWS
- Experience with SQL and NoSQL databases
- Extensive experience building highly scalable, reliable and maintainable services
- Extensive experience working with large scale distributed data processing
- Excellent English communication skills and problem solving approach
- Experience with Amazon Kinesis and EMR
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