Senior Big Data Engineer @

1 week ago

Remote, Czech Republic Matrix Global Services Full time
  • At least 2 years' experience with Java
  • Experience in building, optimizing, and maintaining large-scale big data pipelines using popular open-source frameworks (Kafka, Spark, Hive, Presto, Airflow, etc)
  • Experience with SQL/NoSQL/key value DBs
  • Hands-on experience in Spring, Sprint Boot
  • Experience with AWS cloud services
  • such as EMR, Aurora, Snowflake, S3, Athena, Glue – advantage
  • Hands-on experience developing over CI/CD/Microservices/Docker/Kubernetes
  • Team player and can-do attitude

Matrix Eastern Europe, the offshore division of Matrix IT, one of the leading global R&D services companies with more than 10,000 professionals, is looking for a Senior Big Data Engineer to join the team of our client and partner – Natural Intelligence.

Founded in 2009 and 100% self-funded to this day, Natural Intelligence is a leader in online multi-vertical marketplaces. Their global brands, Top10.com and BestMoney.com, help millions worldwide make informed decisions every day. Their proprietary platform, xMatch, harnesses AI and ML technologies in order to help consumers make easier choices and find the right products and services tailored to their needs.

They are looking for a strong and passionate Senior Big Data Engineer who will help us build the data platform and data frameworks for the company to support analytics and reports, machine learning algorithms, and other data needs.

,[Use your skills and experience to design and develop our innovative data platform and data applications., Use technologies like Java, Spring, Kafka, Mongo, K8s, and MySQLl to develop data applications, Use big data frameworks such as Spark, Kafka, Snowflake, Airflow, Flink, etc, to develop large-scale data pipelines, Lead, deliver, and own high-scale projects end-to-end, Lead technological initiatives and improvements while instilling the development of "best practices", Develop processes and tools to monitor, analyze, maintain, and improve data operations, performance, and usability] Requirements: Java, Kafka, Spark, ETL

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