Google Cloud Platform Big Data Engineer

8+ years of hands-on experience in developing data warehouse solutions and data products 4+ years of hands-on experience in developing distributed data processing platforms with Hadoop, Hive, Scala, Airflow, or similar solutions 4+ years of experience in Google Cloud Platform, GCS Data proc, BIG Query 2+ years of hands-on experience in modeling (Erwin) and designing schema for data lakes or RDBMS platforms Experience with programming languages: Python, Java, Scala, etc Experience with scripting languages: Perl, Shell, etc Background in Scrum/Agile development methodologies Capability to handle multiple competing priorities with little supervision Excellent verbal and written communication skills Bachelor's Degree in computer science or equivalent experience Continuous Integration tools such as Bamboo, Jenkins, or TFS Responsibilities

As a Senior Data Engineer, you will play a crucial role in designing and developing big data applications using cutting-edge open-source technologies Designing and developing logical and physical data models for big data platforms Automating workflows using Apache Airflow Creating data pipelines using Apache Hive, Apache Spark, Scala, and Apache Kafka Providing ongoing maintenance and enhancements to existing systems, participating in rotational on-call support Learning the business domain and technology infrastructure quickly, actively sharing knowledge within the team Leading daily standups and design reviews Grooming and prioritizing backlog using JIRA Serving as the point of contact for the assigned business domain Exposure to test-driven development and automated testing frameworks Qualifications

8+ years of hands-on experience in developing data warehouse solutions and data products 4+ years of hands-on experience in developing distributed data processing platforms with Hadoop, Hive, Scala, Airflow, or similar solutions 4+ years of experience in Google Cloud Platform, GCS Data proc, BIG Query 2+ years of hands-on experience in modeling (Erwin) and designing schema for data lakes or RDBMS platforms Experience with programming languages: Python, Java, Scala, etc Experience with scripting languages: Perl, Shell, etc Background in Scrum/Agile development methodologies Capability to handle multiple competing priorities with little supervision Excellent verbal and written communication skills Bachelor's Degree in computer science or equivalent experience Atlassian products BitBucket, JIRA, Confluence, etc Continuous Integration tools such as Bamboo, Jenkins, or TFS Responsibilities

As a Senior Data Engineer, you will play a crucial role in designing and developing big data applications using cutting-edge open-source technologies Designing and developing logical and physical data models for big data platforms Automating workflows using Apache Airflow Creating data pipelines using Apache Hive, Apache Spark, Scala, and Apache Kafka Providing ongoing maintenance and enhancements to existing systems, participating in rotational on-call support Learning the business domain and technology infrastructure quickly, actively sharing knowledge within the team Leading daily standups and design reviews Grooming and prioritizing backlog using JIRA Serving as the point of contact for the assigned business domain Exposure to test-driven development and automated testing frameworks Job Title: Senior Data Engineer Location: Sunnyvale, CA Onsite Requirement: Yes, 2 to 3 days initially...

Responsibilities:

As a Senior Data Engineer, you will play a crucial role in designing and developing big data applications using cutting-edge open-source technologies. Key responsibilities include:

Designing and developing logical and physical data models for big data platforms. Automating workflows using Apache Airflow. Creating data pipelines using Apache Hive, Apache Spark, Scala, and Apache Kafka. Providing ongoing maintenance and enhancements to existing systems, participating in rotational on-call support. Learning the business domain and technology infrastructure quickly, actively sharing knowledge within the team. Mentoring junior engineers. Leading daily standups and design reviews. Grooming and prioritizing backlog using JIRA. Serving as the point of contact for the assigned business domain. Requirements:

8+ years of hands-on experience in developing data warehouse solutions and data products. 4+ years of hands-on experience in developing distributed data processing platforms with Hadoop, Hive, Scala, Airflow, or similar solutions. 4+ years of experience in Google Cloud Platform, GCS Data proc, BIG Query. 2+ years of hands-on experience in modeling (Erwin) and designing schema for data lakes or 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. Capability to handle multiple competing priorities with little supervision. Excellent verbal and written communication skills. Bachelor's Degree in computer science or equivalent experience.

Preferred Qualifications: 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

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