What are the responsibilities and job description for the Senior Google Cloud Platform Data Engineer position at IPS Technology Services, LLC?
Job Details
Job Description:
Title: Senior Google Cloud Platform Data Engineer
Location: Bentonville, AR (Day 1 onsite) & Sunnyvale, CA (Day 1 onsite)
Duration: Long Term
Must-Have Skills:
Google Cloud Platform Experience:
Location: Bentonville, AR (Day 1 onsite) & Sunnyvale, CA (Day 1 onsite)
Duration: Long Term
Must-Have Skills:
- Scrum Master: 10 Years
- Data : 12 Years
- Google Cloud Platform: 5 Years
- Pyspark: 5 Years
- Scala: 5 Years
- 4 years of recent Google Cloud Platform experience
- Experience building data pipelines in Google Cloud Platform
- Google Cloud Platform Dataproc, GCS & BIGQuery experience
Responsibilities:
- 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
Requirement:
- 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
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