Senior Data Engineer
Skills
SQLAmazon RedshiftAmazon Web ServicesApache SparkArtificial IntelligenceAzure DatabricksData Build Tool
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience in data engineering data analysis or a related field
- Expertise with AWS Redshift SQL and dbt
- Experience with AI-assisted or AI-enhanced development workflows
- Proven experience leading technical projects or small teams
- Strong skills in data modeling pipeline design and performance optimization
- Proficiency with GitHub and collaborative development workflows
- Ability to translate stakeholder needs into actionable data solutions
- Ability to independently drive projects from concept to completion in a remote setting
Nice to have
- Mentoring mindset
- Collaborative
- Innovative
- Self-directed
- Detail-oriented
Day to day
- Lead and mentor Data Analysts and Data Engineers through sprint planning workload balancing and code reviews
- Design implement and maintain reliable scalable data pipelines and models that power reporting analytics and productized data offerings
- Collaborate with product engineering and business stakeholders to translate requirements into high-quality data solutions
- Establish best practices for code quality version control data governance documentation and performance at scale
- Drive continuous improvement while owning projects from concept to completion in a remote environment