Cloud-Based Data Engineer for Hybrid Work Environment
4 weeks ago
Broadridge, a leading global fintech company with $9 billion in revenues, seeks an experienced Cloud-Based Data Engineer to join its team. This role involves working on large-scale data science and analytics projects, implementing AWS services in distributed computing environments, and developing cloud software services with a focus on scalability, performance, and reliability.
As a key member of our team, you will be responsible for hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar technologies, as well as experience with Python and python frameworks such as Django, Flask, Bottle. You will also be expected to have knowledge of software design patterns/architecture like Micro-services, Layered pattern, etc.
We are looking for a passionate teammate who understands and respects personal and cultural differences. The ideal candidate should have a strong analytical mindset, especially in translating business requirements into technical design, and be able to adapt and embrace change while supporting business strategy and vision.
The successful candidate will have a Bachelors/Masters or PhD in Computer Science, Physics, Engineering or Math, with 5-8 years of total software development and data platform implementation experience. Experience in building large-scale machine-learning infrastructure that has been successfully delivered to customers is highly desirable.
This is a hybrid work environment, with shift timings from 1-10 pm. We offer a competitive salary of $125,000 - $150,000 per year, depending on experience, plus benefits including medical, dental, and vision insurance, 401(k) matching, and paid time off.
We are committed to fostering a diverse, equitable, and inclusive environment and believe that associates can only do their best when they feel safe, understood, and valued. If you are passionate about developing your career in a dynamic and supportive environment, we encourage you to apply.
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