11 часов назад
Data Engineering Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Manager (AWS/Data Platforms): Leading a team responsible for building and operating data lake pipelines, platform services, and analytics data flows with an accent on cloud infrastructure, data reliability, and cross-functional roadmap planning. Focus on managing production workloads, designing streaming and API-based pipelines, reviewing Python and SQL solutions, and improving monitoring and incident response.
Location: McCarran, Nevada, United States
Company
Develops battery materials and energy storage solutions by recovering, reusing, and recycling batteries to localize the U.S. battery supply chain.
What you will do
- Lead and grow a team of data engineers and analysts through hiring, mentoring, career development, and performance management.
- Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investments, pipeline development, and analytics requests.
- Partner with business units to identify needs, scope problems, and translate requirements into technical deliverables.
- Oversee data pipelines across streaming datasets, APIs, and multiple data stores, ensuring reliability and data quality.
- Operationalize production workloads through on-call expectations, monitoring, triage, and incident response.
- Stay technically hands-on by reviewing code, prototyping solutions, and contributing to pipeline and infrastructure work.
Requirements
- Bachelor’s degree in Computer Science or a similar technical field, or equivalent practical experience.
- At least 5 years of hands-on experience building data solutions in modern cloud environments, including at least 2 years managing technical teams.
- Strong Python and SQL skills for code review, design evaluation, and solving complex technical problems.
- Experience with data engineering stacks including relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability or catalog tooling.
- Experience operating AWS data platforms using infrastructure-as-code methodologies.
- Ability to manage production data workloads at scale, including monitoring, issue diagnosis, and incident response.
Nice to have
- Trino experience.
- AWS CDK experience.
- Familiarity with containerized workloads in Kubernetes.
- Passion for sustainability.
Culture & Benefits
- Full-time employment.
- Occasional night or weekend work may be required when production systems are down and need immediate attention.
- Physical work is primarily desk-based, with occasional standing, walking, bending, reaching, and handling objects weighing up to 10 pounds.
- Compensation is commensurate with experience.
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