Must Haves

• Strong SQL and Python skills
• Experience building batch + streaming data pipelines
• Hands‑on AWS experience (S3, Lambda, API Gateway, EKS)
• Experience with modern ETL/ELT tools (Informatica, Matillion, DBT, etc.)
• Familiarity with Kafka/Pulsar or similar streaming tech
• Workflow orchestration experience (Airflow/Prefect/Dagster)

Plusses

• Snowflake expertise
• Informatica Cloud / CDI experience
• PySpark or Kubernetes exposure
• Background supporting AI/ML or analytics teams
• Experience standardizing data frameworks or reusable components

Day to Day

You’ll design and maintain scalable data pipelines, both streaming and batch, to support analytics and ML initiatives. You’ll build transformations, models, and ingestion frameworks using cloud‑native tools, ensure data quality and reliability across environments, and collaborate with engineering and analytics teams to deliver high‑impact data solutions.