Senior Data Engineer
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Job description
This is a remote position.
- 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 our experimentation efforts, solving problems from statistical test automation to building real-time M/L pipelines
- Automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.
- Promote data modeling standardization, define, and drive adoption of the standards.
- Build analytics and reporting tools that utilize the data pipeline to provide results and business value to make data-driven decisions.
- Maintain and improve upon our existing ETL pipeline
- Perform routine maintenance tasks and upgrades of our server architecture
- Work with stakeholders to assist with data-related technical issues and support data infrastructure needs.
- Apply best practices for testing and deployment in an agile environment.
- Contribute to shared Data Engineering tooling & standards to improve engineering productivity across the company
Requirements
- Expert-level understanding of relational databases (columnar and row-based)
- Expertise in SQL is a must.
- Prior experience working with Tier-1 technology consulting firms is a huge plus
- Proven hands-on experience building complex ETLs in a business environment with large-scale, complex datasets
- Scripting experience in python and bash shell required
- 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
- Must be eligible to work in the US.
Benefits
Originally posted on Himalayas
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