Data Engineer – PySpark, Databricks & AWS Redshift

Location: Chicago, IL (locals Only)

Employment Type: W2 Contract

Job Description

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

Required Qualifications

Atleast 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.

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