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About the Role
We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to join our data engineering team. The ideal candidate will have a solid background in designing, building, and optimizing scalable data pipelines and data processing solutions in cloud-based environments.
Requirements
- At least 7 plus years of strong professional experience as a Data Engineer working with large-scale data platforms.
- Extensive hands-on experience with PySpark.
- Strong experience with Databricks, including developing and optimizing production data pipelines.
- Strong hands-on experience with AWS Redshift.
- Proficiency in Python and SQL.
- Experience building and maintaining ETL/ELT pipelines and data processing workflows.
- Strong understanding of data warehousing, data modeling, and distributed data processing concepts.
- Experience working with cloud-based data platforms, preferably AWS.
- Strong troubleshooting, performance-tuning, and problem-solving skills.
- Prior experience within e-commerce, airlines, transportation, or logistics environments is highly desirable.
Skills
- PySpark
- Databricks
- AWS Redshift
- Python
- SQL
Location
- Chicago, IL
Work Type
- W2 Contract
Experience Level
- 7+ years