Data Engineer / Google Cloud Platform
Phoenix, AZ, United States
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Job Description
We are currently seeking a talented and motivated Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform). This financial tech company offers the opportunity for growth and advancement in a dynamic and innovative work environment.
The #1 feature of this opportunity is the chance to work with Google Cloud Platform, designing and implementing data solutions that drive our business forward. We are looking for someone who is passionate about data engineering, with a strong background in Google Cloud Platform services such as BigQuery, Dataflow, and Pub/Sub. This role offers the chance to work with a talented team, learning and growing together while maintaining a healthy work-life balance.
Required Skills & Experience
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
At least 3 years of experience in data engineering, with a focus on Google Cloud Platform.
Proficiency in Python or Java, with experience in data processing frameworks (e.g., Apache Beam, Apache Spark).
Experience with Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Excellent communication and problem-solving skills.
Desired Skills & Experience
Certification in Google Cloud Platform.
Experience with other cloud platforms (e.g., AWS, Azure).
Knowledge of containerization technologies (e.g., Docker, Kubernetes).
What You Will Be Doing
Tech Breakdown
50% Python or Java
30% Google Cloud Platform (Google Cloud Platform)
20% Data Modeling and ETL Processes
Daily Responsibilities
40% Hands On
30% Collaboration with Data Science and Analytics teams
30% Project Management and Documentation
The Offer
Bonus OR Commission eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Data Engineer / Google Cloud Platform
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