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Data Privacy Infrastructure Engineer

3 months ago

Cupertino, California, United States TEKsystems Full time

Description:

AI/ML DI Privacy Infrastructure Engineer Job Description
Summary
The Data Infrastructure group within the AI/ML organization powers the analytics, experimentation and ML feature engineering that powers the Machine Learning technologies we all love in our devices. Our mission is to provide cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data while keeping users' data private and secure.

The Data Security and Privacy team sits within the AI/ML Data Infrastructure group and is looking for engineers who want to bring their passion for security and privacy to help build world class data infrastructure that puts's users' privacy first while enabling data engineers and scientists to produce world-beating ML data products.

Key Qualifications
3+ years of experience scaling and operating distributed systems like big data processing engines (e.g., Apache Hadoop, Apache Spark), distributed file systems (e.g. HDFS, CEPH, S3, etc.), streaming systems (e.g., Apache Flink, Apache Kafka), resource management systems (e.g., Apache Mesos, Kubernetes), or Identity and Access Management (e.g. Apache Ranger, Sentry, OPA)
3+ years experience with infrastructure as code and systems automation
Fluency in Java or a similar 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 Spark and ETL processing pipelines is helpful, but not required
Experience with systems security, identity protocols and encryption 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. They will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.

Responsibilities include:

Scale and operationalize privacy and security systems in a big data environment leveraging technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment through automation and infrastructure-as-code
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 design sessions

Skills:

Aws, ansible, puppet, chef, Python, Docker, spark

Top Skills Details:

Aws,ansible,puppet,chef,Python,Docker

Additional Skills & Qualifications:

None

Experience Level:

Expert Level

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.