Comspark International Inc. Jobs

Senior GCP Data Engineer

Comspark International Inc.

Senior GCP Data Engineer

Reposted Yesterday

In-Office

Sunnyvale, CA

Senior level

In-Office

Sunnyvale, CA

Senior level

Design, build, and maintain large-scale GCP data pipelines and data warehouse solutions using Dataproc, GCS, BigQuery, Hadoop/Spark/Hive and Airflow. Mentor engineers, run agile ceremonies, prioritize backlog, provide on-call support, and deliver data models and products at multi-TB/PB scale.

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Senior GCP Data Engineer
Sunnyvale, CA (5 Days onsite)
Long Term

GCP Experience
• 4+ years of recent GCP experience
• Experience building data pipelines in GCP
• GCP Dataproc, GCS & BIGQuery experience
• 12+ 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
As a Senior Data Engineer, you will
• 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 your 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 your assigned business domain

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