Description

You will build and optimize data pipelines to support a large-scale data platform.

Responsibilities

• Build, maintain, and optimize data pipelines using Spark.
• Collaborate with teams to develop features and consolidate data assets.
• Partner with business analysts and architects to design technical architectures for enterprise projects.
• Develop libraries to standardize data processing workflows.
• Migrate existing CMS data platforms into AWS environments.
• Implement automation for applicable data processes.

Required Skills

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

Preferred Skills

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

Key Skills

Education

Any Graduate