Full Job Description
$130,000 - 160,000
A top consulting firm focusing on data-driven solutions for data science, data analytics, and BI teams. They can build end-to-end analytics platforms from scratch, migrate on perm data to the cloud, design data lakes, and much more.
THE ROLE - Senior Data Engineer
As a Senior Data Engineer, you will be responsible for building data pipelines in multiple cloud environments. You will work with various advanced Data Science, BI, and Engineering teams to work on a huge variety of projects that are revolutionizing their approach to increasing revenue and engagement. Your responsibilities will include:
Building the end to end data pipelines in multi-cloud environments
Work with data scientists, BI, and analysts to produce data pipelines and machine learning models, so that they can scale and accommodate various business requirements.
Identify data sources where the potential value is not fully realized and invent new means with which to interact and gather insights from it
Support ongoing efforts to establish and enforce best practices on data quality, use, and security across the company
Actively contribute to the adoption of strong data engineering architecture, development practices, and new technologies.
Create POC's based on the client's needs
YOU WILL NEED:
Commercial experience Python
Experience with one or more cloud services (AWS, GCP, or Azure)
Commercial experience with Spark
Experience designing data models
Experience with client interaction
Experience leading small teams
$130,000 - $160,000 base
PTO and sick time off
HOW TO APPLY
Please register your interest by sending your resume to Jacob Ragland via the Apply link on this page.
Python, AWS, GCP, Azure, Spark, Data Engineer, data models, digital marketing, POC, data science, data lake, data warehouse