Design, code, test, debug and document programs and scripts using agreed standards and tools, ensuring well-structured deliverables.
Ensure data quality and implement tools and frameworks to automate the detection of data quality issues.
Profile data sources and develop ETL processes, applying data modeling fundamentals, using SQL, Python, and ETL/ELT support tools.
Assist management in preparing estimates and proposals for clients.
Plan effective solutions for data storage, security, sharing, and publishing within the organization.
Create and update documentation for process flows and business rules.
Maintain existing workflows and process large volumes of data as needed.

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
3–5 years of experience in Data Engineering and/or Data Warehousing.
Experience designing and developing ETL/ELT data pipelines.
Proficiency in writing advanced SQL queries.
Proficiency in Python and various Python libraries.
Strong analytical skills, with the ability to understand and communicate the meaning of presented data.
Excellent mathematical, statistical, and logical skills.
Excellent reasoning skills.
Enthusiastic, highly motivated profile with the ability to learn quickly.
Experience creating ETL workflows in Databricks.
Understanding of Apache Spark.
3–5 years of experience in automotive operations or similar businesses (dynamic environment).

Remote and/or office-based environment
Reasonable accommodations can be provided to enable individuals with disabilities to perform the role.

Data Engineer II

Key skills