Data • chicago il
Data Engineer – PySpark, Databricks & AWS Redshift.Location: Chicago, IL (locals Only).We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS... Show more
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The average salary range is between $ 62,550 and $ 160,250 year , with the average salary hovering around $ 104,956 year .
The average salary range is between $ 35,126 and $ 144,979 year , with the average salary hovering around $ 75,077 year .
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.
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.
