Senior Data Engineer
New
S
S5 StratosSaaS AI/ML
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLBashCloud ComputingETLGCPGitRESTful APIsData modeling
Requirements
- Expert-level understanding of relational databases (columnar and row-based)
- Expertise in SQL
- Proven hands-on experience building complex ETLs with large-scale, complex datasets
- Scripting experience in Python and bash shell
- Fully proficient in pipeline building and job automations
- Proficiency with Git
- Experience building RESTful APIs
- Experience with error handling and data validation
- Experience working in GCP or other cloud platforms
- Bachelors in Computer Science, Engineering or similar
Responsibilities
- Develop and automate large scale, high-performance data processing systems (batch and/or streaming)
- Translate business needs into data models: implement data strategies, build data flows and develop conceptual data models
- Implement deployment and infrastructure automation strategies
- Build data support for experimentation efforts, from statistical test automation to real-time M/L pipelines
- Automate manual processes, optimize data delivery, and re-design infrastructure for scalability
- Promote data modeling standardization and drive adoption
- Build analytics and reporting tools utilizing the data pipeline
- Maintain and improve existing ETL pipelines
- Perform routine maintenance and upgrades of server architecture
- Collaborate with stakeholders to assist with data-related technical issues
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