Description

You will design, develop, and monitor data engineering solutions to support high-volume, fault-tolerant data pipelines.

Responsibilities

• Build large-scale batch and real-time cloud-based distributed data systems for machine learning support.
• Optimize and integrate distributed data architectures to support new products and data initiatives.
• Develop and manage automated workflows to minimize human error.
• Design, test, document, and deploy data engineering solutions using distributed cloud technologies.
• Travel or relocate to unanticipated client sites throughout the USA as required by project needs.

Required Skills

• 12 months of experience with Alteryx, Apache Spark, Azure Cloud, Databricks, Terraform, Kubernetes, Snowflake, DBT Analytics, Linux, SQL, and Python.
• Proficiency in Python, GIS, SQL, Azure Cloud, Alteryx, Microsoft Services, and Snowflake.
• Bachelor’s degree in Computer Science, IT, IS, Engineering, Business, Statistics, or a closely related field.
• Experience working as an IT Consultant, Analyst, Programmer, Engineer, or Developer.

Key Skills

Education

Any Graduate