Data Infrastructure Engineer

19 May 2024

Vacancy expired!

Hi, Greetings of the day…… I hope you are doing great. I found your candidature one of our job portals, could you find below job description with our direct client and let me know if you are interested, if yes, could you share your resume also let me know best number and time to reach you. Looking forward to hearing from you soon.

Job Role :

Data Infrastructure Engineer

Location : Cupertino, CA or Seattle, WA

Direct Client : Apple

Tax Term: W2

Duration : 7 Months

Job DescriptionThe client is looking for engineers who wants to bring their passion for infrastructure to build world class infrastructure products. You will build and lead our data infrastructure team and help the members of your team grow both technically and professionally. You will work with many cross functional teams and lead the planning, execution and success of technical projects with the ultimate purpose of improving SERVICE experience for Client customers.

Key Qualifications
  • Experience managing Kubernetes cluster or run distributed applications in Kubernetes environment.
  • Familiar with AWS technologies such as EC2, S3, RDS and IAM.
  • Fluency in Python, Java, or scripting language.
  • Ability to debug complex issues in large scale distributed systems
  • Passion for building infrastructure that is reliable, easy to use and easy to maintain
  • Excellent communication and collaboration skills
  • Experience with distributed system such as Spark/Flink/Kafka/Cassandra is helpful but not required

Description
  • The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.

Responsibilities will include
  • Build and operate Client’s largest data infrastructure supporting millions of SERVICE users at 100+ PB scal
  • Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment
  • Ensure data infrastructure offers reliable high-quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt
  • Write code, documentation, participate in code reviews, and mentor other engineers.

Education
  • S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent practical experience

Primary SkillsSpark, Flink, Kafka, Kubernetes, Java, Python, Cassandra, AWS, Infrastructure Thanks & RegardsChandrakanth Reddy VulchakotiAdvent Global Solutions IncDirect: | VOIP: 5301Email:

Fax: |

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  • ID: #41165067
  • State: California Cupertino 95014 Cupertino USA
  • City: Cupertino
  • Salary: Depends on Experience
  • Job type: Contract
  • Showed: 2022-05-19
  • Deadline: 2022-07-17
  • Category: Et cetera