What are the responsibilities and job description for the Data Analytics Engineer position at Cerebras Systems?
Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.
We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.
Job Description:
We are seeking a highly skilled Data Analytics Engineer with strong SQL expertise and experience in dashboard development using tools like Grafana. This role is perfect for someone who enjoys working across data, engineering, and analytics to deliver high-quality solutions.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 3 years of experience in data analytics/engineering or business intelligence
- Ability to collaborate with cross-functional stakeholder
- Strong background in SQL (writing complex queries and performance tuning).
- Experience with creating data visualizations
- Proficiency in Python for data manipulation and automation.
- Strong problem-solving and analytical skills.
Skills & Responsibilities
- Requirement Gathering: Collaborate with stakeholders to understand business needs and translate them into actionable data solutions.
- Dashboard Development: Design, develop, and maintain interactive dashboards
- SQL Expertise: Write optimized and efficient SQL queries to extract, transform, and analyze large datasets.
- Performance Optimization: Ensure dashboards and queries are optimized for scalability and speed.
Preferred Qualifications
- Experience with Postgres databases is a plus.
- Experience with monitoring and alerting tools to ensure data pipeline health.
- Full-Stack Development: Implement small-scale web applications/APIs or UI components to support data analytics needs.
- Working with Time Series Data: Handle and analyze time series data efficiently.
- Creating custom visualizations in web apps and/or python.
- Experience working on hardware products
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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