Senior Data Engineer at Grainger in Chicago, IL

Job Description

About this kind of role

What a Senior Data Engineer usually does. The employer's own details are in the listing.

Typically does: A Senior Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning initiatives. They focus on data warehousing, ETL processes, and ensuring data quality and reliability. This role often involves collaborating with data scientists, analysts, and other engineers to understand data needs and deliver robust data solutions. Senior Data Engineers are expected to mentor junior team members and contribute to architectural decisions.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (e.g., Snowflake, Redshift), ETL tools (e.g., Apache Spark, Airflow), and experience with data modeling is generally required.

Good fit for: Individuals with strong problem-solving abilities, a passion for data, and a desire to build scalable and efficient data systems typically thrive in this role.

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