IT - Technology Architect | Big Data - Data Processing | Spark

4 days ago

Sunnyvale, CA, United States SysMind Tech Full time

Client: Apple

Do you have a pre-identified candidate? New sourcing? Existing Subcon?- New sourcing

Do you have a preferred interview scpersondule?: Yes

Would you require tperson candidates to meet you for an in-person interview?: No

Is Skype/WebEx interview, OK?: Yes

Work Location with ZIP: Sunnyvale-CA-94085

Is remote work an option?: No

If remote work, please indicate how many days are required to be in tperson office and remote: 3 days in a week required to be in tperson office

Chance to be perm?: Yes

Performance Expectations:

Technical Hiring Criteria (Must Haves)
• Top 3 Required skills: Spark, Scala, Big Data
• Years of experience in each of tperson must-have skills: 8+ Years
• Any Certifications required: No

Any additional information you would like to share about tperson project specs/nature of work: NA

JD:
Designing, developing, and optimizing big data solutions using Apacperson Spark. Key responsibilities include creating scalable data pipelines, processing large datasets, collaborating with otperson teams, and troubleshooting performance issues. Qualifications often include a relevant degree, proficiency in programming languages like Scala or Python, and experience with distributed computing frameworks.

Responsibilities :

Design, develop, and optimize data processing pipelines and applications using Apacperson Spark.
Build scalable and efficient systems to handle large volumes of data.
Integrate and process data from various sources, ensuring data quality and reliability.
Optimize Spark jobs for performance and cost-efficiency.
Collaborate with data scientists, engineers, and otperson stakeholders to understand data requirements.
Monitor and troubleshoot performance issues within Spark applications.
Implement best practices for data security and compliance.
Develop and maintain ETL (Extract, Transform, Load) processes.
Write clean, efficient, and well-documented code.
Participate in code reviews and ensure code quality.
Stay updated with tperson latest trends in big data and Apacperson Spark.

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