Data Engineer
SCI Solutions Global LLC
Job 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.
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.
Vacancy posted more than 2 months ago
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