Description

You will build and optimize data pipelines to support large-scale data platform features and asset consolidation.

Responsibilities

• Build, maintain, and optimize data pipelines using Spark.
• Develop libraries to standardize data processing workflows.
• Partner with architects and analysts to design technical architectures for enterprise projects.
• Migrate data platforms into AWS environments.
• Implement automation for applicable data processes.
• Advise and coach other data professionals on engineering standards and practices.

Required Skills

• 5+ years of experience in a data engineering role.
• Proficiency in Python and SQL.
• Strong experience building data pipelines with Spark.
• Experience building data processing infrastructure within AWS (e.g., EMR or Glue).
• Experience with relational datastores, NoSQL datastores, and cloud object stores.
• Strong analytical and problem-solving skills.
• Strong verbal and written communication skills.
• Legal right to work in the USA.

Preferred Skills

• Production experience with ACID compliant formats such as Hudi, Iceberg, or Delta Lake.
• Experience with Infrastructure as Code, specifically Terraform.
• Familiarity with data observability solutions and data governance frameworks.
• AWS Cloud certification.

Key Skills

Education

Any Graduate