Staff Data Engineer at Advanced Micro Devices, Inc

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Hadoop, Big Data, Data Analytics, Data Lake, Data Integrity, Data Security, Enterprise Data Warehousing, ETL, Cloud Technologies, Python, Postgres, MS SQL, MongoDB, Application Performance Monitoring, Technical Documentation, Problem Solving, Communication

Industry

Semiconductor Manufacturing

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking an expert Data Engineer who can design, develop, and maintain some of the most impactful Enterprise-wide Big Data and Data Analytics Platform THE PERSON: You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently. KEY RESPONSIBILITIES: Administration and Management of Hadoop Big Data platform including knowledge of the service components HDFS, MapReduce, Yarn. HBase, Hive and Spark Data lake Support both on-prem and on cloud like ADLS Manage Data Integrity and Data Security for various big Data Platform Patching and vulnerability management and security best practices for Data platforms Enterprise Data Warehousing knowledge and support preferably Snowflake, Microsoft SQL Server and Databricks Lakehouse ETL tool knowledge using Microsoft SSIS, Databricks, Apache Airflow etc. Collaborate effectively with other technical teams to exploit new technologies to enhance the applications and service infrastructure. Managing Cloud Subscriptions on Azure, GCP and AWS PREFERRED EXPERIENCE: Deep hands-on experience with Hadoop and other big data platform DW development and maintenance, to include ETL (extraction, transformation, and loading) to support Enterprise Level Business Intelligence platforms such as SQL Analysis Services, Integration Services and Reporting Services Hands on experience with on-prem and cloud based big data platforms Experience in cloud technologies managing end to end subscription Scripting knowledge in Python with database experience on Postgres DB, MS SQL, MongoDB, MS Reporting Services is preferred Solid understanding of Enterprise applications development platform Familiar with Application Performance Monitoring and load performance test framework/tools Creative problem-solving style and strong critical thinking skills Strong written and verbal communication skills. Write clear, concise and comprehensive technical documentation ACADEMIC CREDENTIALS: Bachelor’s/Master’s degree in Computer Science or related field strongly preferred LOCATION: San Jose, CA #LI-MF2 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Responsibilities

The role involves administration and management of the Hadoop Big Data platform, including components like HDFS, MapReduce, and Spark. Additionally, the engineer will manage data integrity and security across various big data platforms.