Why This Role Stands Out
This hybrid role offers exciting opportunities to build robust data integration frameworks using Google Cloud Platform and AWS, allowing you to expand your technical expertise. If you're a mid-senior data engineer with Python and Java skills, eager to contribute to impactful data sharing initiatives, you'll thrive here. Apply today to leverage this chance for professional growth and flexible work arrangements.
Quick Overview
Job Description
Seeking to fill in a data engineer with Google Cloud Platform Python,Java, big query exp for immediate hybrid contract opportunity with my direct client in Richfield MN.
If interested , share your word document resume, work authorization, expected hourly pay rate, current location, availability for hybrid work , skill stack and LinkedIn.
Reach me for more details. thanks.
If not, Appreciate any referrals. hybrid – 3 days – (Monday and Friday remote)
Project Description:
This team, is responsible for integrating with 3rd party partners to share information related to advertising.
In this space we ship large amounts of data using Google Cloud Tools such as Dataflow, BigQuery, Airflow, Cloud Functions and more to enable data sharing and activation on third party tools.
This area also has an AWS footprint where we’re spinning up new API to serve various information for internal and external partners.
Position Summary/Job Description:
You will work with a team of engineers to help build out a reusable framework for handling data integrations with a focus on resiliency, system health visibility and modularity.
You will participate in a weekly on-call rotation , where you will handle external questions, monitor system health and handle administrative type tasks.
During your non on call time, you’ll be work with other engineers to build out features and functionality as we progress on our roadmap.
Skills Overview:
Experience with Google Cloud Platform using tools such as Dataflow, BigQuery, Airflow, Cloud Functions
Experience working with integration patterns/tools such as SFTP, S3, GCS Buckets, PGP Encryption
Experience using Agentic AI workflow tools to write code
Experience with various Data Bases (BigQuery, Big Table, Oracle, Mongo, and Postgres)
Experience with the following languages:
Java and Python- 3-5 years experience preferred
Proficiency with domain driven development, design patterns and data movement patterns.
Experience using Google tools such as Airflow/Dataflow/BigQuery etc...
Experience building AWS applications using Java/Spring and relational databases.
Interview Process Overview:
1 interview with the Senior Engineering Manager and either 1 or two of the other engineers on the team. (panel interview)
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