We are looking for a Big Data / Data Engineer to join our growing team. In this role, you will be responsible for the design and development of our big data processing engine — a heavy ETL pipeline handling complex logic including geo-location analysis, running across both cloud and on-prem environments.

Requirements:

• 4+ years of experience in Data Engineering
• 2+ years of hands-on experience with Scala (must) or Java (optional)
• 2+ years of experience with SQL and NoSQL DBs
• Hands-on experience with Spark & PySpark (must)
• Experience with Airflow (must)
• Experience with AWS and/or GCP
• Experience with Kubernetes (k8s) and on-prem deployments
• Solid understanding of distributed systems design, pipeline architecture, and partitioning strategies
• Deep understanding of Agile principles, practices and values
• Solid understanding of design patterns, software development techniques, and clean code practices
  

Advantage:

• Experience with Apache Iceberg, Helm Charts, or data catalog tools
• Experience with Spring Framework
• Experience with microservice architecture
• Experience working with DevOps and CI/CD practices
• Customer-facing experience or comfort working directly with clients
• Bachelor's, BSc or Master's degree in Computer Science or Engineering from a leading academic institution