• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 23rd Dec 2023

You'll be working at the frontier of AI, crunching massive amounts of data for our knowledge graph. In a fast-paced, continuously integrated environment, you'll design and implement robust, scalable data pipeline and solutions capable of processing an ever-growing data set while keeping latency low and quality high. You'll work closely with fellow engineers to integrate new data, and deliver our knowledge products to cross-functional teams in Apple to power customer-facing scenarios. Your responsibilities will also include developing tools and tests to ensure quality and help diagnose issues.

We're seeking data engineers to work on scalable data workflows to enrich knowledge graph. As an expert in developing software to manage large, dynamic datasets, you'll be building and optimizing pipelines for data ingestion, cleaning, transformation and evaluation to support a rapidly scaling organization.

1. Deep hands on in Graph DB both Design Graph DB and Optimizing Graph DB  (KG Area)
2. Have Strong Background in Data warehouse (Relational and no-sql Data Models) (Datawarehouse / BI Area)
3. Have strong data Science background specially in Natural Language Processing space (Data Science Area)

Key Qualifications

• 10 years of experience as a Software Engineer processing large-scale datasets
• Excellent programming skills — e.g. Python, Go, Java, Scala.
• Excellent problem-solving, analytic, and debugging skills
• Solid computer science and systems foundations; ability to quickly learn new domains.
• Proven software development skills in UNIX-type OS (e.g. Linux, Mac OS)
• Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark, HBase)
• Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.)
• Experience with cloud-native deployment is a good plus (e.g. Kubernetes)
• Good communication skills and teamwork
• Passion for building great products.
• Experience in tooling and streamlining workflows in complex processes.