TELECOMMUTE Google Cloud Platform Data Engineer
Role details
Job location
Tech stack
Job description
- Develop logical and physical data models for big data platforms.
- Automate workflows using Apache Airflow.
- Create data pipelines using Apache Hive, Apache Spark, Scala, 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
- 8+ years of hands-on experience with developing data warehouse solutions and data products.
- 4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required
. 4 + years of experience in Google Cloud Platform,GCS Data proc, BIG Query
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2+ years of hands-on experience in modeling(Erwin) and designing schema for data lakes or for RDBMS platforms.
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Experience with programming languages: Python, Java, Scala, etc.
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Experience with scripting languages: Perl, Shell, etc.
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Practice working with, processing, and managing large data sets (multi TB/PB scale).
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Exposure to test driven development and automated testing frameworks.
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Background in Scrum/Agile development methodologies.
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Capable of delivering on multiple competing priorities with little supervision.
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Excellent verbal and written communication skills.
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Bachelor''s Degree in computer science or equivalent experience. The most successful candidates will also have experience in the following:
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Gitflow
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Atlassian products - BitBucket, JIRA, Confluence etc.