Data Engineer (Python, SQL, AWS) - Hybrid - In-person interview - Durham, NC (USC/)

W2 role - In-person interview Applicants must be local - No relo Job Summary: - Work with Python to extract critical elements from existing systems and rebuild in a new ecosystem - Utilize SQL for data querying and manipulation - Design and implement solutions on AWS, transitioning from on-premises databases and pipelines to the AWS ecosystem - Leverage data warehouse experience to support migration and new solution development - Collaborate with local team members (applicants must be lo

Role: Data Engineer (Python, SQL, AWS) Mode: Hybrid (2 weeks per month onsite) Duration : Long term Visas: USC/EAD Relocation: No, locals only (Onsite interview will be required) Location: Durham, NC Must have skills- 1.) Python (need to know Python language to extract critical elements and re-build in new ecosystem) 2.) SQL 3.) AWS (brand new solutions built on AWS, breaking down on-prem databases/pipelines into the AWS ecosystem) 4.) Data Warehouse experience 5.) Great Communication

Description: Hybrid Every other week onsite/5 days in Durham, NC Our client seeks a Data Engineer to build and scale data solutions on AWS with Snowflake. The role focuses on data analysis, data modeling, and ETL development using Python and SQL to support an enterprise data lake and downstream data marts. You will collaborate in an Agile team to modernize on-premises pipelines into cloud-native architectures and enable reliable customer data platforms. Due to client requirements, applicants

RESPONSIBILITIES: Kforce has a client that is seeking a Data Engineer Python SQL AWS in Durham, NC. REQUIREMENTS: * Bachelor's or Master's degree in a technology related field (e.g. Engineering, Computer Science, etc.) required * Extensive experience in relational databases like Oracle or Snowflake * Development experience using Python * Experience in Data warehousing, data modelling and creation of data marts * Experience in developing data applications in Cloud (AWS/Azure/Google Cloud) * Expe