Requirements

3+ years of experience in data processing & software engineering and can build high-quality, scalable data oriented products
Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines
Strong Software Engineering experience with in-depth understanding of Python, Scala, Java or equivalent
Strong understanding of data architecture, modeling and infrastructure
Experience with building workflows (ETL pipelines)
Experience with SQL and optimizing queries
Problem solver with attention to detail who can see complex problems in the data space through end to end
Willingness to work in a fast paced environment
MS/BS in Computer Science or relevant industry experience

Nice to Haves

Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)