• 3+ years of Python development experience, preferably writing modules that implement part of a streaming or batch ETL system in a cloud hosted environment • 3+ years of SQL experience (No-SQL experience is a plus) • 3+ years of experience with schema design and dimensional data modeling • Ability in managing and communicating data warehouse / lake designs to stakeholders • Experience designing, building, and maintaining data processing systems • At least 3 years’ experience with modern DevOps automation ecosystems, preferably Git/GitHub/Bitbucket, Buildkite or Ansible (or similar) • Real-world experience handling large data volumes (terabytes of storage and billions of rows) • At least 3 years experience configuring, using, and performance tuning AWS cloud services:preferably S3, Glue, Athena, Kinesis, Firehose, Lambda, Cloudwatch, ECS, API Gateway, RDS (Postgres), SQS, SNS, SES • Experience using AWS Redshift (or similar) • Experience with CloudFormation or TerraForm • Ability to prioritize, learn quickly, and do high-quality work • Demonstrate understanding of modern APIs and endpoints, like REST and GraphQL • Working understanding of Agile dev methodologies, especially Scrum and Kanban • Good listener, communicator, collaborator, and documenter • Proficient with Linux and shell scripting • Experience with data warehouse, data mart, OLAP, dimensional modeling, Kimball method • Good understanding of relational and document database concepts and best practices • Know how to design a clean, performance-optimized relational data model, and reverse engineer existing databases into physical data model diagrams • Experience using C*, Spark, Kafka, KSQL, Confluent, Pulsar and/or Kinesis helpful • Automated testing experience using JUNIT or equivalent • Some experience in software engineering (front, middle, back or all three) and application architecture