What are the responsibilities and job description for the Sr Google Cloud Platform Data Engineer with Pyspark & Scala position at Data Capital Inc?
Job Details
Responsibilities: As a Senior Data Engineer,
- Design and develop big data applications using the latest open-source technologies.
- 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.
- Experience building data pipelines in Google Cloud Platform
- Google Cloud Platform Dataproc, GCS & BIGQuery experience
- 5 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
Nice to Have:
Gitflow
Atlassian products BitBucket, JIRA, Confluence etc.
Continuous Integration tools such as Bamboo, Jenkins, or TFS
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