Data Engineer
SCI SOLUTIONS GLOBAL Chicago, Illinois, United States
IT Services and IT Consulting · 11-50 employees
About the role
The Data Engineer will design, build, and optimize scalable data pipelines and processing solutions within cloud environments. They are responsible for maintaining ETL/ELT workflows and ensuring high performance across large-scale data platforms.
What they look for
Requirements
Candidates must have at least 7 years of professional experience with PySpark, Databricks, and AWS Redshift. Proficiency in Python, SQL, and a strong understanding of data warehousing and modeling are required.
Full description
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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