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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 working 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 including pull requests and CI/CD
- Ability to translate stakeholder needs into actionable data solutions
- Ability to independently own projects from concept to completion in a remote setting
Nice to have
- Collaborative
- Innovative
- Adaptable
- Creative
- Self-directed
- Mentoring mindset
Day to day
- Lead and mentor Data Analysts and Data Engineers through sprint planning workload balancing and code reviews
- Design implement and maintain scalable data pipelines and models that power reporting analytics and productized data offerings
- Collaborate closely with product engineering and business stakeholders to translate requirements into reliable data solutions
- Establish standards for code quality version control data governance documentation and performance optimization