Droisys | GCP Data Engineer | sunnyvale, ca
5 days ago
About Company,
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
GCP Data Engineer
Sunnyvale, CA (Day 1 onsite/5 Days onsite)
Long term
Job Details:
Must have skills.
Overall Experience level:
3+ years of recent GCP experience
5+ years of hands-on experience Hadoop, Hive or Spark, Airflow or a workflow orchestration solution
4+ years of hands-on experience designing schema for data lakes or for RDBMS platforms
Experience with programming languages: Python, Java, Scala, etc.
Experience with scripting languages: Perl, Shell, etc.
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:
GCP Experience
• 3+ years of recent GCP experience
• Experience building data pipelines in GCP
• GCP 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
• 4+ 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
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
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GCP Data Engineer
5 days ago
Sunnyvale, United States Droisys Full timeAbout Company,Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.Amazing things happen when we...
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