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Apple · Hyderabad, India

Software Engineering Manager - Data

Hyderabad, IndiaManager or leadSoftware Engineering

Listed on Apple’s official careers site. Posted December 1, 2025. Check that it is still open and apply there.

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Job description

The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires 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. Imagine what you could do here. Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on groundbreaking big data technologies?

Then we are looking for you. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic leader who like to think outside the box.

Someone who is self motivated and ready to lead team of most talented engineers building high quality, scalable and resilient distributed systems that power apple's analytics platform and data pipelines. AiDP (Artificial Intelligence and Data Platform) team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Anti Fraud, Retail, Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions.

We leverage a diverse technology stack such as Snowflake, Spark, HANA, SingleStore, Kafka, Iceberg, Cassandra and beyond. Designing, developing and scaling these big data solutions are a core part of our daily job.

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