What are the responsibilities and job description for the Data Engineer with Google Cloud Platform position at Cynet Systems?
Job Details
We are looking for Data Engineer with Google Cloud Platform for our client in Sunnyvale, CA
Job Title: Data Engineer with Google Cloud Platform
Job Type: Contract
Job Description:
Job Description:
Pay Range: $55hr - $60hr
Responsibilities:
- Design and develop big data applications using the latest open source technologies.
- Desired working in offshore model and Managed outcome.
- Develop logical and physical data models for big data platforms.
- Automate workflows using Apache Airflow.
- Create data pipelines using Apache Hive, Apache Spark, Apache Kafka.
- Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support.
- Learn our business domain and technology infrastructure quickly and share candidates knowledge freely and actively with others in the team.
- Mentor junior engineers on the team.
- Lead daily standups and design reviews.
- Groom and prioritize backlog using JIRA.
- Act as the point of contact for candidates assigned business domain.
- Google Cloud Platform Experience.
- 4 years of recent Google Cloud Platform experience.
- Experience building data pipelines in Google Cloud Platform.
- Google Cloud Platform Dataproc, GCS & BIGQuery experience.
- 10 years of hands-on experience with developing data warehouse solutions and data products.
- 6 years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required
- 5 years of hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms.
- Experience with programming languages: Python, Java, Scala, etc.
- Experience with scripting languages: Perl, Shell, etc.
- Practice working with, processing, and managing large data sets (multi TB/PB scale).
- Exposure to test driven development and automated testing frameworks.
- Background in Scrum/Agile development methodologies.
- Capable of delivering on multiple competing priorities with little supervision.
- Excellent verbal and written communication skills.
- Bachelor's degree in computer science or equivalent experience.
- The most successful candidates will also have experience in the following:
- Gitflow.
- Atlassian products BitBucket, JIRA, Confluence etc.
- Continuous Integration tools such as Bamboo, Jenkins, or TFS.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $55 - $60
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