Senior Data Engineer to $5500

About the Project:

You’ll be part of a strategic initiative for a UK-based client — deploying Visa Fraud Prevention and Monitoring services on AWS Cloud. The role focuses on building and optimizing high-throughput data pipelines using modern Big Data tools and cloud infrastructure.

       Key Requirements:

  • 5+ years of hands-on development experience
  • Primary language: Scala (preferred) or Java
  • Cloud: Strong background in AWS and its ecosystem
  • Big Data tools: Apache Spark, Hadoop, Kafka, Hive
  • Databases: MySQL, Cassandra
  • Streaming platforms: Flink, Spark Streaming, Pinot
  • Strong SQL proficiency
  • Experience in building large-scale data pipelines (batch & real-time)
  • Familiarity with multi-dimensional, high-volume datasets
  • Exposure to machine learning model integration is a plus

       What You'll Be Doing:
  • Design, develop, and maintain scalable data pipelines on AWS
  • Write efficient, production-grade code in Scala/Java and SQL
  • Integrate and manage real-time streaming systems
  • Ensure performance, resilience, and reliability of large transactional systems
  • Collaborate with data scientists and DevOps to deliver fraud monitoring capabilities
  • Work closely with architects to define and implement Big Data architecture

        Ideal for you if:
  • You love solving complex data challenges
  • You thrive in hybrid teams and enjoy cloud-native architecture
  • You’re comfortable working in fast-paced, regulated environments

    Location: Warsaw (Hybrid, 2 days/week on-site)
Published 13 May
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