NavitsPartners
Cloud Data Engineer - Consultant - SOSC
NavitsPartners - West Columbia, South Carolina, United States, 29172
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Overview
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Overview
Job Title: Cloud Data Engineer - Consultant
Location:
Columbia, SC Duration:
12 Months Pay Rate:
$75 - $80/hour
Candidate must be a CURRENT South Carolina resident. No relocation allowed.
Scope of the Project: Seeking a Cloud Data Engineer to support enterprise data initiatives, focusing on developing and optimizing cloud-based data pipelines and architectures supporting advanced analytics and reporting.
Daily Duties / Responsibilities: Design, build, and maintain data pipelines and ETL processes in AWS or Azure environments. Implement data ingestion and transformation frameworks using Python, SQL, and cloud-native services. Collaborate with business analysts and data scientists to ensure data pipelines support analytical needs. Monitor pipeline performance and troubleshoot system inefficiencies. Document data architectures, processes, and best practices. Ensure data security and compliance standards are met. Required Skills:
3+ years of hands-on experience with Python, SQL, and cloud data engineering. Experience with AWS Glue, Lambda, Redshift, or Azure Data Factory and Synapse. Strong understanding of ETL development, pipeline optimization, and data architecture. Proficient in data modeling and data governance practices. Familiarity with data warehousing platforms such as Snowflake or Amazon Redshift. Preferred Skills:
AWS or Azure certifications. Experience working with healthcare data or Medicaid systems.
Columbia, SC Duration:
12 Months Pay Rate:
$75 - $80/hour
Candidate must be a CURRENT South Carolina resident. No relocation allowed.
Scope of the Project: Seeking a Cloud Data Engineer to support enterprise data initiatives, focusing on developing and optimizing cloud-based data pipelines and architectures supporting advanced analytics and reporting.
Daily Duties / Responsibilities: Design, build, and maintain data pipelines and ETL processes in AWS or Azure environments. Implement data ingestion and transformation frameworks using Python, SQL, and cloud-native services. Collaborate with business analysts and data scientists to ensure data pipelines support analytical needs. Monitor pipeline performance and troubleshoot system inefficiencies. Document data architectures, processes, and best practices. Ensure data security and compliance standards are met. Required Skills:
3+ years of hands-on experience with Python, SQL, and cloud data engineering. Experience with AWS Glue, Lambda, Redshift, or Azure Data Factory and Synapse. Strong understanding of ETL development, pipeline optimization, and data architecture. Proficient in data modeling and data governance practices. Familiarity with data warehousing platforms such as Snowflake or Amazon Redshift. Preferred Skills:
AWS or Azure certifications. Experience working with healthcare data or Medicaid systems.