Description

You will design and implement complex data solutions as a senior architect.

Responsibilities

• Design and implement complex data architectures and solutions.
• Build big data processing pipelines using PySpark and Python.
• Manage ETL processes and data warehousing workflows.
• Apply dimensional modeling to organize data structures.
• Work within Agile development methodologies to deliver data products.

Required Skills

• 5+ years of experience in data engineering or architecture roles.
• Proficiency in Python programming.
• Strong experience with PySpark for big data processing.
• Hands-on experience with AWS Glue, EMR, Lambda, and S3.
• Knowledge of DynamoDB, Redis, and Aurora.
• Experience building and managing data lakes.
• Solid understanding of ETL processes and dimensional modeling.
• Familiarity with Tableau, Power BI, or Looker.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with Flink.

Key Skills

Education

Bachelor's degree