Remote Enterprise Data Engineer & Architect (AWS)

Zohorecruit; Jacksonville (FL); Teletrabalho; USD 123 984 000 - 206 640 000; Tempo integral

Resumo da oferta

Zohorecruit is seeking an Enterprise Data Engineer & Architect with AWS for a remote 3-month engagement, with potential conversion to FTE. Location is remote with CST hours; a CST-based client is involved.

The role splits 50/50 between engineering and architecture, and aims to significantly accelerate data retrieval speeds. The position requires hands-on Python and SQL coding, designing scalable data structures, and guiding best practices across teams.

Qualificações

• Minimum of 10+ years of experience in Data Engineering/Architecture.
• Proficiency in AWS, Terraform, Kubernetes, Python, and SQL.
• Experience in implementing and automating Kubernetes environments without Glue.
• Extensive experience with AWS services including S3, Redshift, Aurora Postgres, Glue, Lambda, Step Functions, Lake Formation, and Kinesis.

Responsabilidades

• Collaborate with existing architects to split responsibilities equally between engineering and architecture.
• Engage in hands-on work, including coding in Python and SQL, to optimize data structures and API services.
• Develop and implement solutions to enable data retrieval speeds that are 10 times faster.
• Work closely with various teams to ensure seamless data access and integration.
• Provide thought leadership within the EDO space and act as a true consultant for best practices.

Conhecimentos

Data Engineering

Data Architecture

Cloud Architecture

Coding

Ferramentas

AWS

Terraform

Kubernetes

Python

SQL

Descrição da oferta de emprego

Zohorecruit is seeking an Enterprise Data Engineer & Architect with AWS for a remote 3-month engagement, with potential conversion to FTE. Location is remote with CST hours; a CST-based client is involved.

The role splits 50/50 between engineering and architecture, and aims to significantly accelerate data retrieval speeds. The position requires hands-on Python and SQL coding, designing scalable data structures, and guiding best practices across teams.