Data Engineer

What you'll be working on:

• Port existing data pipelines and make data available to an internal data fabric.
• Build new data acquisition and transformation pipelines using big data and cloud technologies.
• Work with the broader technology team, including information architecture and data fabric teams to align pipelines with the lodestone initiative.

Required Qualifications:

• In-depth knowledge of Structured Query Language (SQL) including advanced SQL coding, relational database design, data warehousing
• Experience with Big Data platforms such as Apache and Airflow
• Deep understanding of REST, good API design, and OOP principles
• Strong collaboration and teamwork skills with excellent written and verbal communications skills
• Self-starter and motivated with ability to work in a fast-paced software development environment.
• Agile experience highly desirable
• Proficiency in the development environment, including IDE, database server, GitHub, Continuous Integration, unit-testing tool, and defect management tools.
• Basic understanding on software development programming languages like Oracle PL/SQL.
• BS in Computer Science or Engineering with at least 4 years of professional software work experience

Preferred Qualifications:

• Experience with object-oriented/object function scripting languages: Python, C#, Scala, etc.
• Experience in maintaining and developing software in production utilizing cloud-based tooling (GCP, Okta)
• Experience in BigQuery, Snowflake, Databricks will be a big plus.