Description:
Data Platform and Machine Learning team within client's organization powers analytics, experimentation, and ML feature engineering to power a service we all love in our devices. The mission of the team is to provide our engineers and data scientists a cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing, and interacting with data and ultimately help the teams that build data intensive applications be successful. You will work with many cross functional teams and lead the planning, execution, and success of technical projects with the ultimate purpose of improving this service experience for CLIENT customers. We are looking for engineers who want to bring their passion for infrastructure to build world class infrastructure products.
You will be responsible for the stream processing platform used for analytics and machine learning of worldwide SERVICE and Search events. We process a triple digit billion events per day. To run our environment efficiently, we drive for proper monitoring, alerting and automation. The team's goal is to ensure the reliability and performance at the highest level.
Skills:
- java
- scala
- python
- springboot
- spark
- kafka
- kubernetes
- cloud computing
- monitoring tools
- alerting dashboard
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.#J-18808-Ljbffr