Job Responsibilities: AIML - Sr Data Engineer
Salary: $20-30 Hour
Company: Apple
Location: Sacramento, USA
Educational Requirements: Bachelor Degree
Full Job Description:
The AIML Information Association looks to further develop items by involving information as the voice of our clients. Inside this association, the Information Designing group fabricates frameworks that cycle information dependably at scale to create adaptable and great datasets that help certain, information informed decision-production for Siri.
We're searching for outstanding information engineers who are energetic about our items and values; who love working with information at scale, and who are focused on consistently moving along. As a piece of this gathering, you will work with petabytes of information every day utilizing different innovations like Flash, Flink, Kafka, Hadoop, and others. You will be supposed to successfully join forces with upstream designing groups and downstream buyers, including experts and item designs.
Key Capabilities
- 2+ long stretches of specialized experience planning, fabricating, and keeping up with appropriated information handling stages.
- 2+ long stretches of industry experience working with circulated information handling advances (for example Hadoop, MapReduce, Flash, Flink, Voila, and so on) for building proficient and enormous scope information pipelines.
- 2+ long periods of information demonstrating experience planning star diagrams and logging constructions.
- Capability in no less than one significant level programming language (Java, Scala, Python, or the same).
- Experience with enormous, complex, profoundly layered informational indexes; involved insight with SQL.
- Experience building stream-handling applications utilizing Apache Flink, Flash Streaming, Apache Tempest, Kafka Streams, or others.
- Experience with information designing on the side of ML: Abnormality location in time series information, designing work to item ionize models created by information researchers, and so forth.
- You are independent and fit for working amid uncertainty.
- You are unassuming, consistently filling in mindfulness, and having a development mentality.
- You are interested and have great composed and verbal correspondence as well as critical thinking abilities.
- You are amped up for diving into huge petabyte-scale semi-organized datasets.
Portrayal
In this job, you will construct datasets to help with examination, trial and error, and AI. In particular, stream handling applications fuel constant measurements and assist with driving our self-serve methodology for covering sake of information researchers and item designs as we on the whole improve items.
You will be too:
- Planning and building deliberations that conceal the intricacy of the fundamental enormous information stack (HDFS, Hadoop, Hive, Impala, Flash, Kafka, Parquet, and so forth) and that permits accomplices to zero in on their assets: item, information demonstrating, information examination, search, data recovery, and AI.
- Characterizing and carrying out the "wellspring of truth" for our most key information as well as our center measurements across different items.
- Improving start-to-finish work processes of information clients (creating libraries, giving deliberations to characterize occupations, booking information pipelines, overseeing access datasets, and so on).
- Building inward administrations and devices to help in-house accomplices carry out, convey and examine datasets with an elevated degree of independence and restricted rubbing.
- Surfacing datasets in close constant to crucial items and business applications all through the organization, giving the sign that takes care of our AI calculations along with our everyday item characterizing choices.
- Mechanizing and taking care of the lifecycle of datasets (composition development, metadata store, inlay the board, expostulation, relocation).
- Working on the quality and dependability of our pipelines (observing, retrying, disappointment discovery)
Schooling and Experience
- Shock us! Many will have an MS or BS in CS, Designing, Math, Measurements, or a connected field or comparably reasonable involvement with information designing.
