Data Engineer Specialist
Job Summary
Job Description
The Data Engineer Specialist at Google Trust and Safety in Dublin, Ireland, will design, develop, and maintain scalable data infrastructure to support reporting needs. Responsibilities include designing and implementing analytics and reporting solutions, collaborating with stakeholders to meet evolving requirements, productionizing analytics and reporting prototypes, and implementing production-level data pipelines. The role requires a Bachelor's degree or equivalent experience, 3+ years of experience in SQL and Python, and 3+ years of experience with data infrastructure, data modeling, and designing data pipelines. Preferred qualifications include experience with stakeholder management, project planning, and machine learning for production workflows.
Must have:
- Bachelor's degree or equivalent experience
- 3+ years experience in SQL and Python
- 3+ years experience with data infrastructure and data modeling
- 3+ years experience designing data pipelines
- Experience with Flume, DataFlow, Spark
Good to have:
- 3+ years experience partnering with stakeholders
- 3+ years experience developing project plans
- Experience with Machine Learning for production workflows
5 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience coding in one or more programming languages such as SQL and Python.
- 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
- 3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
Preferred qualifications:
- 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
- 3 years of experience developing project plans and delivering projects on time within budget and scope.
- Experience with Machine Learning for production workflows.
About the job
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Responsibilities
- Acquire understanding of business processes, tools and customer expectations and design and develop scalable data infrastructure to support reporting needs.
- Design, implement, test, optimize and troubleshoot analytics and reporting solutions to solve business performance management challenges as well as to meet regulatory reporting requirements.
- Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meet constantly evolving requirements.
- Work closely with analysts to productionize analytics and reporting prototypes, and various statistical and machine learning models.
- Design, implement and own technical implementation of production-level data pipelines, documentation, check-in process, etc. Write and review technical documents, including design, requirements, and process documentation.
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