Formal training or certification on data platform concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise"
Hands on expert level experience with Python, PySpark, or Java. Strong understanding of building spark jobs and tuning spark to meet or exceed performance benchmarks
Demonstrate experience shipping software products to crunch billions of records using AWS technologies like EMR, ECS, Lambdas, APIs, Redshift, S3, Athena, RDS, or Opensearch
Preferred qualifications
3+ years of experience working on cloud platforms (AWS preferred)
Experience with building data engineering pipelines and reporting tools a plus