What are the responsibilities and job description for the Senior Google Cloud Platform Data Engineer - 12+ years position at The Design5 Company Inc.?
Job Details
Senior Data Engineer- 12 years
Location: Sunnyvale, CA (Day 1 Onsite)
Experience: 12 years
Please no H1B s
Mandatory Areas: Google Cloud Platform, Python, Java, Scala, Jenkins, Kubernetes
Google Cloud Platform, Airflow Dataproc, Data Pro , Spark , Scala, Data modelling , Migration from Dataproc to Data Proc , designing , Data lake
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
Requirements: Total IT Experience
12 years of experience in IT Google Cloud Platform Experience
- 5 years of recent Google Cloud Platform experience
- Experience building data pipelines in Google Cloud Platform
- Google Cloud Platform Dataproc, GCS & BIGQuery experience
- 5 years of hands-on experience with developing data warehouse solutions and data products.
- 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.
- 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.
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