Data Engineer | Apple Careers | Engineering Jobs | Job Alert | Latest Jobs 2022
At Apple, new ideas have a way of becoming extraordinary products , services and customer experiences very quickly. The people here at apple don’t just crafts products -they build the kind of wonders that revolutionized every industries. Its 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.
Are you interested in being part of a team that continues to innovate the way people machines interact ? The launch of Siri was a defining moment in the history of artificial intelligence. Siri offers a faster easier way to get things done on your apple device even before you ask. Millions of people now use siri to send a message ,play their favorite song or even take a selfie. The Siri team is passionate about technology with a focus on enriching the siri customer experience.
Job Description | Apple Recruitment
Consider what you could accomplish here. Outstanding ideas at Apple have a habit of fast becoming great products, services, and consumer experiences. If you put your heart and soul into your work, there’s no knowing what you can achieve. We’re a varied group of thinkers and doers who are constantly rethinking our products, systems, and processes to better serve our customers and achieve our objectives.
This is a very collaborative environment, where everything we do is the result of people in various roles and teams collaborating to strengthen each other’s ideas. Our dedication to leaving the world in a better state than we found it is strengthened by the same passion for innovation that goes into our goods.
Apple’s Applied Machine Learning group has developed tools for a variety of large-scale data science projects. We work on a variety of high-impact initiatives for Apple’s various business lines. We use cutting-edge open source technologies, and as committers on several of these projects, we’re pushing the boundaries.
We manage various streams of Apple-scale data while working with multiple lines of business. We combine everything and extract the value. All of this is accomplished by a talented team of data engineers, data scientists, and dev-ops engineers. As a member of this dynamic team, the applicant will contribute to the globalisation of the Apple experience.
Responsibilities | Apple Recruitment
- Act as a leader within area of expertise to motivate, guide & inspire teammates.
- Lead effort to build scalable, distributed and highly available systems and pipelines.
- Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues. Work with cross functional teams to drive requirements.
- Develop, coach & train junior developers; work with the team manager and PM in estimating scope and team capacity; respond to urgent requests from executives or business needs; ensure world-class products & experiences.
Eligibility | Apple Recruitment
- 5+ years of experience working in Bigdata technologies.
- Experience with crafting and building large scale data pipelines in distributed environments with technologies such as Hadoop, Spark, Kafka, Hive etc.
- Experience with NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB.
- Proven skills in designing, tuning & optimizing scalable, highly available distributed systems which can handle high data volumes.
- Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
- Proficient & hands-on in Java is a must.
- Good data modelling experience to address scale and read/write performance.
- Excellent written and oral communication skills on both technical and non-technical topics.
- Excellent general analytical & problem solving skills.
- Experience with cloud computing platform like AWS or GCP is a plus.
- Experience with web technology stack including REST Web Services, Springboot, Docker, Kubernetes is a plus.
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