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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$3000-5000
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