Data Infrastructure Engineer

Data Infrastructure Engineer

• R&D
•  Tel Aviv, Israel
• Senior
• Full-time

REQUIREMENTS

• 4+ years of proven experience as a Data Engineer or similar role in managing and processing large-scale datasets.
• A proven experience as a Backend Engineer.
• A proven experience in building scalable online services.
• Experience with frameworks like Spark, Kafka, DataLake, Airflow to build data processing and exploration pipelines along with ML infrastructure to power our intelligence.
• Experience in AWS/Google cloud environments, writing in Python/Java/Scala/Go.
• Experience in deploying a diverse range of cloud-based technologies to support mission-critical projects, including expertise in writing, testing, and deploying code within a Kubernetes environment.
• Experience working with both SQL and NoSQL databases such as Redis, MongoDB, DynamoDB, Cassandra, or Redshift.
• Familiarity with geospatial data, GIS technologies, and related challenges - Advantage. 
• Strong problem-solving skills and attention to detail, demonstrating an analytical mindset in addressing complex data engineering challenges. 
• Excellent communication and collaboration abilities, fostering effective teamwork and the exchange of ideas within a cross-functional environment.