onsite
Analytics Data Engineer I - John Deere
Data Engineer
Entry‑level Analytics Data Engineer focused on building scalable data pipelines, transforming raw data into actionable insights using Python, SQL, and AWS services.
About the role
Key Responsibilities
- Design, develop, and maintain ETL pipelines to ingest, transform, and load data from diverse sources into data warehouses.
- Collaborate with data scientists and analysts to understand data requirements and deliver clean, high‑quality datasets.
- Optimize query performance and ensure data integrity across large volumes of structured and semi‑structured data.
- Implement data quality checks, monitoring, and alerting to maintain pipeline reliability.
- Leverage AWS services (S3, Redshift, Glue) and big‑data tools (Spark, Hive) to support scalable analytics solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Proficiency in Python and SQL for data manipulation and automation.
- Experience with data warehousing concepts and ETL tooling.
- Familiarity with AWS cloud services and big‑data frameworks.
- Strong problem‑solving skills and ability to work collaboratively in a fast‑paced environment.