Quick Overview
Job Description
Greetings!
Duration C2H (3-6 months to hire)
Location Chicago (ONSITE) - Location: Chicagoland, IL candidates preferred, but work will be mostly remote with ability to come into Downtown office as needed.
Onsite interview
Qualifications:
· 10+ years of IT experience, including deep expertise in data engineering & ETL
· 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines
· Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM, networking)
· Highly proficient in Databricks' core architectural pattern, which combines the best elements of data lakes and data warehouses.
· Familiar with advanced features like Unity Catalog (for governance), Delta Live Tables (DLT for pipelines), Databricks SQL, and workflow orchestration.
· Expertise in SQL, Python, data modeling, and distributed processing.
· Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.).
· Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm.
· Strong communication skills and the ability to translate complex technical concepts into solutions that deliver business outcomes.
· A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space.
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