Senior Data Engineer @ Matrix Global Services

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 Data Engineer to join one of our teams - PlaxidityX!

They are the backbone of data operations at PlaxidityX, entrusted with managing every aspect of data flow within the organization – from data ingestion and processing to generating valuable insights. Currently comprised of two highly skilled data engineers, they are eager to welcome a third member who shares their passion for transforming data into actionable intelligence.

• 3 years of experience in large scale, distributed server side, backend development
• Extensive experience in stream & batch big data pipeline processing using Apache Spark
• Experience with Linux, Docker, and Kubernetes
• Experience in working with cloud providers (e.g., AWS, GCP)
• Strong experience with event streaming platforms like Kafka or its alternatives, such as Amazon MSK, Azure Event Hubs, or Confluent Cloud.
• A team player, highly motivated and a fast learner
• Ability to assume ownership of goals and products
• Passion for designing scalable, distributable and robust platforms and analytic tools

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 Data Engineer to join one of our teams - PlaxidityX!

They are the backbone of data operations at PlaxidityX, entrusted with managing every aspect of data flow within the organization – from data ingestion and processing to generating valuable insights. Currently comprised of two highly skilled data engineers, they are eager to welcome a third member who shares their passion for transforming data into actionable intelligence.

Lead development projects of critical, high-availability, cloud-scale services and APIs, Support clients with large amounts of data and scalability in mind, Take part in all development stages – from design to deployment, Develop and deploy real time / batch data processing pipelines using the latest technologies, Design and build high-availability, cloud-scale data pipelines (ETLs)] Requirements : Spark