24 Nov
Google Cloud Platform Data Engineer Skype Hire
Vacancy expired!
Hello, Zenosys is looking for Google Cloud Platform Data Engineer a client Dearborn, MI If you are available and interested in the below opportunity, please send me updated resume. Thanks
Job Title Google Cloud Platform Data EngineerLocation- Dearborn, MIDuration –6+ Months Contracts to Hire If you are interested, please provide the following details along with the updated resume to speed up the interview process.Full Legal Name as mentioned in Drivers' license:Current Location:Willing to relocate to the specified work location:Currently on a project or actively looking:Availability for interview:Availability to join the project:Date of Birth (Month/Date):Visa Status:Since how long the candidate has been in USNeed Education details with University Name, Location & Passing year in resume.:LinkedIn address This is a data warehouse developer role who has experience with Python and Google CloudPrimary Duties and Responsibilities:The Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. Responsibilities include:- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google Cloud Platform ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and cloud vendor regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Knowledge of Meta and Master Data Management
- Familiar with Google Cloud Platform Service cloud services like: Cloud Sql, BigQuery, DataFlow, DataPrep, AppEngine
- Knowledge of stream-processing systems: i.e.: Storm, Kafka, etc.
Vacancy expired!