1,778 jobs for "Data Engineer - Data Platform"

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Apple

Software Engineer (Framework), Ai & Data Platforms

Hyderabad, IndiaPosted 19 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 love understanding every detail of how new technologies work? Join the team that serves as Apple's nerve center, our Information Systems and Technology group. There are countless ways you'll contribute here, whether you're coordinating technology needs for product launches, designing music solutions for retail locations, or ensuring the strength of in-store Wi-Fi connections. From Apple Pay to the Apple website to our data centers around the globe, you'll help design and manage the massive systems that countless employees and customers rely on every day. You'll also build custom tools for employees, empowering them to solve complex problems on their own. Join our team, and together we'll explore all the ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers. The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple's business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of a phenomenal data platform and leverage multiple frameworks. This position is an extraordinary opportunity for a competent, expert, and results-oriented Framework Software Engineer to define and build some of the best-in-class data platforms and products.

Description
As a Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub and data visualization. You will either work on building custom solutions ground up or take open source products and customize the same for Apple's need.
We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.

Preferred Qualifications
Knowledge of LLM serving and inference frameworks
Knowledge of LangChain/LlamaIndex, enabling RAG applications and LLM orchestration
Knowledge of Big data technologies and data platforms
Knowledge of spark or other distributed computing frameworks
Knowledge of SQL query engines like Trino, Hive etc.
Experience in javascript libraries, frameworks such as React is a plus

Minimum Qualifications
4+ years hands on experience with Java, Python or Scala
Experience in designing and developing scalable micro services and Rest APIs
Experience with SQL and NoSQL data stores
Experience in building and deploying cloud native applications/products (AWS/GCP/others)
Experience using DevOps tools, containers and Kubernetes platform
Good communication and personal skills:- ability to interact and work well with members of other functional groups in a project team and a strong sense of project ownership

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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