2,333 jobs for "Data Analytics"

Data Scientist Senior - Internal Audit

At PNC Financial Services Group - Pittsburgh

Posted on Oct 24

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Global Billing & Collections Analytics Manager

At Equinix - Remote / Flexible

Posted on Oct 22

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Data Scientist - TikTok Local Services (San Jose)

At TikTok - San Jose

Posted on Oct 22

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Senior Data Scientist - Global E-commerce, Supply Chain & Logistics - Global E-Commerce Supply Chain and Logistics

At TikTok - Seattle

Posted on Oct 22

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Manager, Data Science

At Mastercard - Pune

Posted on Oct 22

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Business Analytics Lead - Regulatory Reporting

At PNC Financial Services Group - Pittsburgh

Posted on Oct 22

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IND Lead Engineer, Data

At The Hartford - Hyderabad

Posted on Oct 22

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Analytics & Metrics Manager - Customer Success

At Mastercard - Riga

Posted on Oct 20

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RCC Data Scientist

At Apple

Posted on Oct 19

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Senior Analyst Product Manager - Enterprise Data Enablement

At Mastercard - Bogotá

Posted on Oct 19

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Creative Data Strategist (Associate Managing Consultant(-1

At Mastercard - Gurugram

Posted on Oct 19

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Business Analytics Lead - Asset Management Group Investment Office

At PNC Financial Services Group - Pittsburgh

Posted on Oct 19

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Engineering Manager, Data Services, IS&T Ai & Data Platforms

At Apple

Posted on Oct 17

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Software Engineer, Data Services, IS&T Ai & Data Platforms

At Apple

Posted on Oct 17

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IT Support Data Scientist, Employee Experience & Productivity, IS&T

At Apple - Sunnyvale

Posted on Oct 17

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Data Platform SRE, AI & Data Platforms (AiDP)

At Apple - Austin

Posted on Oct 17

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Quantitative Analytics & Model Consultant Senior - Retail Banking (ML & Predictive modeling)

At PNC Financial Services Group - Cleveland

Posted on Oct 17

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Quantitative Analytics & Model Consultant Senior - Retail Banking (ML & Predictive modeling)

At PNC Financial Services Group - East Brunswick

Posted on Oct 17

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Quantitative Analytics & Model Consultant Senior - Retail Banking (ML & Predictive modeling)

At PNC Financial Services Group - Washington

Posted on Oct 17

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Quantitative Analytics & Model Consultant Senior - Retail Banking (ML & Predictive modeling)

At PNC Financial Services Group - Tysons Corner

Posted on Oct 17

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Apple

Data Platform SRE, AI & Data Platforms (AiDP)

Austin, TXPosted 22 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

As a Data Platform SRE, you will be responsible for developing and operating our big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identifying and resolving production errors and issues to ensure the best data platform experience","responsibilities":"Develop and operate large-scale big data platforms using open source and other solutions.

Support critical applications including analytics, reporting, and AI/ML apps.

Optimize platform performance and cost efficiency.

Automate operational tasks for big data systems.

Identify and resolve production errors and issues to ensure platform reliability and user experience

Preferred Qualifications

Expertise in designing, building, and operating critical, large-scale distributed systems with a focus on low latency, fault-tolerance, and high availability.

Experience with contribution to Open Source projects is a plus.

Experience with multiple public cloud infrastructure, managing multi-tenant Kubernetes clusters at scale and debugging Kubernetes/Spark issues.

Experience with workflow and data pipeline orchestration tools (e.g., Airflow, DBT).

Understanding of data modeling and data warehousing concepts.

Familiarity with the AI/ML stack, including GPUs, MLFlow, or Large Language Models (LLMs).

A learning attitude to continuously improve the self, team, and the organization.

Solid understanding of software engineering best practices, including the full development lifecycle, secure coding, and experience building reusable frameworks or libraries.

Minimum Qualifications

3+ years of professional software engineering experience with large-scale big data platforms, including strong programming skills in Java, Scala, Python, or Go.

Proven expertise in operating large-scale distributed data processing systems with a strong focus on Apache Spark.

Hands-on experience with table formats and data lake technologies such as Apache Iceberg, ensuring scalability, reliability, and optimized query performance.

Strong background in incident management, including troubleshooting, root cause analysis, and performance optimization in complex production environments.

Proficient with cloud technologies such as AWS and GCP

Experience with Unix/Linux systems and command-line tools for debugging and operational support.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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