BS or Master’s degree in Computer Science, related degree, or equivalent experience.
5+ years experience with data-related and data management responsibilities.
Deep expertise in designing and building data warehouses and big data analytics systems.
Practical experience manipulating, analyzing and visualizing data.
Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole.
Prior experience with notebooks using Jupyter, Google Collab, or similar.
Responsibilities:
Develop and enhance data and analytics infrastructure.
Collaborate with a growing team and bright engineering minds in big data computing.
Design and develop scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or similar frameworks, both on premise and in the cloud.
Build data pipelines, data services, data warehouses, BI and ML platforms.