Big Data Engineer
1 month ago
We are seeking a highly skilled Big Data Engineer to join our team and contribute to the development of innovative data solutions for the financial industry.
Key Responsibilities:- Design, develop, and maintain scalable and reliable data pipelines that ingest, process, and deliver data from various sources to our real-time data platform.
- Closely collaborate with Product Managers, Data Scientists, Business Analysts, and Software Engineers to ensure seamless integration and delivery of data solutions.
- Develop and maintain new data integration solutions to support business growth and expansion.
- Proficiency in Java, Python, SQL, and cloud technologies such as Snowflake.
- Experience in productive Big Data and Data Analytics environments.
- Experience in Stream Processing, Streaming Data, and Data Pipelines.
- Experience with data modeling, data quality, and data governance best practices.
- Fluent in spoken and written English.
- A bachelor's degree in computer science, engineering, or a related field.
- At least 3 years of experience as a data engineer or a similar role.
- Practical experience implementing container platforms, preferably OpenShift / Kubernetes and implementing Microservices.
- Familiarity in streaming technologies like Kafka and Kafka Connect.
- Understanding of data visualization solutions like Tableau, Qlik, PowerBI.
- Practical experience on Infrastructure as code like Terraform.
- Banking know-how or experience working on financial solutions.
- Knowledge and experience on Avaloq Banking Suite.
We offer a hybrid and flexible working arrangement to support work-life balance and maintain our fantastic Avaloq culture in our global offices. We are committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate, and promote regardless of origin, age, gender identity, sexual orientation, or any other fantastic traits that make us all unique.
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