Senior GCP Data Engineer

Reposted 14 Days Ago
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Sunnyvale, CA, USA
In-Office
Senior level
Information Technology • Professional Services • Software • Consulting
The Role
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.
Summary Generated by Built In

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

Skills Required

  • 4+ years of recent GCP experience
  • Experience building data pipelines in GCP
  • Experience with GCP Dataproc, GCS and BigQuery
  • 12+ years hands-on experience developing data warehouse solutions and data products
  • 6+ years developing distributed data processing platforms with Hadoop, Hive or Spark, and Airflow or equivalent
  • 5+ years modeling and designing schema for data lakes or RDBMS platforms
  • Experience with programming languages: Python, Java, Scala
  • Experience with scripting languages: Perl, Shell
  • Experience working with and processing large datasets (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
  • Gitflow
  • Atlassian products: BitBucket, JIRA, Confluence
  • Continuous Integration tools such as Bamboo, Jenkins, or TFS
  • Experience with Apache Kafka
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The Company

What We Do

Comspark International Inc. is a global software and engineering consulting firm specializing in the development and maintenance of web-enabled solutions. The company provides a wide range of cutting-edge IT services, including software development, outsourcing, and enterprise application solutions such as ERP, AI, and blockchain. They assist clients across various industry domains by creating and implementing specialized technology solutions to drive business efficiency.

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