Data Engineer III
Seattle WA ( Need Locals)
3 to 5 Years
Experience deploying ELT/ETL processes and frameworks with Cloud Platforms; Azure preferred.
Sound knowledge of data management practices with operational experience on Databricks, Azure Synapse, or similar data platforms.
Advanced SQL skills and proficiency with Python for data processing (PySpark experience a plus)
Experience with CI/CD, version control, and managing production code; ADO is an asset.
Experience integrating data with disparate formats from API, streaming, or other endpoints.
Years of Experience Required 3-5 years.
Data engineer experience working with the business, experience with video games or something similar, working with a lot of streaming data.
Can have that kind of experience that can transfer to this space.
Degrees or certifications required - Software engineering or equivalent.
Best vs. Average - Quality of work as related to usability by our analysis and user.
Identify and analyze multi-structured data from a variety of sources to assess its effectiveness and accuracy to meet analytics requirements.
Build and maintain automated data pipelines to transform data into clean, enriched, and highly optimized datasets that fulfill analytic requirements.
Collaborate with data engineers, data scientists, analysts, partners, and stakeholders.
3+ years working as a Data or Analytics Engineer or equivalent on large enterprise systems.
Established data analysis skills to identify, select and prepare quality data for analytics use cases.
A proven track record of building and optimizing big data pipelines for analytic solutions.
A sense of personal ownership and accountability while remaining flexible to manage shifting priorities.