The role involves designing, building, and optimizing data pipelines and ETL workflows within a cloud-based data lake environment. Responsibilities include performing data profiling, developing data models, and creating data marts to support enterprise data needs.

Candidates must possess extensive experience with relational databases such as Oracle or Snowflake and demonstrate proficiency in Python for data engineering. Strong SQL skills are required for data extraction, transformation, and optimization, alongside experience in data warehousing and dimensional data modeling. Applicants must have hands-on experience building data applications in a major cloud platform, preferably AWS, and experience with ETL technologies like Informatica or SnapLogic. A Bachelor’s or Master’s degree in a technology-related field, such as Engineering or Computer Science, is required.