Data Analytics Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About The Role

We are seeking a highly skilledData Analytics Engineerwith strongSQL expertiseand experience indashboard developmentusing tools likeGrafana. This role is perfect for someone who enjoys working acrossdata, engineering, and analyticsto deliver high-quality solutions.

Skills and Qualifications

• Bachelor's or Master's degree inComputer Science, Data Science, or a related field.
• 3+ years of experience indata analytics/engineering or business intelligence.
• Ability to collaborate with cross-functional stakeholder.
• Strong background inSQL(writing complex queries and performance tuning).
• Experience with creating data visualizations.
• Proficiency inPythonfor data manipulation and automation.
• Strong problem-solving and analytical skills.
• Requirement Gathering:Collaborate with stakeholders to understandbusiness needsand translate them into actionabledata solutions.
• Dashboard Development:Design, develop, and maintaininteractive dashboards.
• SQL Expertise:Write optimized and efficientSQL queriesto extract, transform, and analyze large datasets.
• Performance Optimization:Ensure dashboards and queries are optimized forscalability and speed.

Preferred Qualifications

• Experience withPostgres databasesis a plus.
• Experience withmonitoring and alertingtools to ensure data pipeline health.
• Full-Stack Development:Implement small-scaleweb applications/APIsor 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.