Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. One of the missions of our Data Center Engineering Team is to collaborate in the collection, analysis, and optimization of the IT and Data Center Infrastructure telemetry data. We are looking for a team oriented, logical mindset, forward-thinking, self-confident, experienced Data Engineer to join our team.

Minimum Qualifications

Bachelor’s degree in Computer Science, Software or Computer Engineering, Statistics, or a related field or equivalent job-related experience
5+ year background in data science, or data visualization or statistical data analysis
3+ years of experience with at least one data science programming language such as Python
Experience working with at least one database such as Postgres, MongoDB, Oracle, Redis, MySQL, Cassandra, Snowflake, DuckDB, etc.

Preferred Qualifications

Proven experience in leading team to define project requirements, risks, effort and schedule
Experience in working with data center infrastructure management and monitoring for power, cooling, network, and IT assets
Understanding of three phase power and cooling basics a plus
Proficient in Excel, Numbers, or other software to organize, analyze, visualize data
Deep experience developing methods to extract, collect, cleanse, validate and analyze large data sets
Demonstrated success developing algorithms or reports to analyze and cross correlate data from diverse systems
Self starter, self driven, and can provide multiple options for a given analysis request

Description

You will work with large scale telemetry data across numerous infrastructure domains, undertaking in-depth quantitative analysis, identifying and resolving discrepancies to ensure data accuracy and completeness and distilling data into actionable and intuitive visualizations to drive informed engineering decision-making. The key objective is to make data meaningful and accessible to data center engineering and operations teams to optimize the performance of infrastructure and its assets. Responsibilities Lead and participate with team members to reach group’s responsibilities and objectives in the area of Data Center Infrastructure telemetry for power and cooling Collaborate across the data center infrastructure platforms for power, cooling, network, IT assets, service and asset security for data collection and analysis. Ownership from new telemetry device evaluation, qualification, implementation, quality, support and drive corrective actions with vendors Lead weekly reports, plans, and meetings with operations team to drive accurate and compliant reporting Ensure telemetry devices are Information Security compliant and develop plan to remediate as needed Create a library for documents, requirements, conceptual dashboards, algorithms, scripts, report generation and results Document data flow architecture and recommend improvements and refinements Cross validate telemetry to other infrastructure systems such as EPMS and BMS

Telemetry Data Engineer

Infrastructure Services

Apple

Summary

Minimum Qualifications

Preferred Qualifications

Description

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