- Work as part of the Data Services team to maintain and level up the Data Services/Infrastructure/Pipeline/Portal for extending its capability, improving robustness and quality, and optimizing for performance
- Develop solutions to drive optimization of data-related operations around cloud services management, time to market, security, privacy, and delivery of worldwide capability
- Troubleshoot and resolve defects
- Must be currently enrolled in an undergraduate, master's, or Ph.D. program, ideally in Computer Science or Engineering-related
- Experienced in at least one software programming language- Java (highly preferred), Scala, Python, Golang, or other OOP languages
- Good computer knowledge, systematic understanding of the operating system, APIs design, databases, data structures, architecture design, etc
- Concrete SQL skills, such as the principle of SQL execution under different frameworks, and familiarity with structured and unstructured analysis tools of big data
- Fundamental experience in big data ecological technology stacks (HDFS, Hive, Elastic-search, HBase, Impala, Spark/Flink, Kafka, Airflow, Sqoop, etc.)
- Experience in extracurricular activities such as hackathons, and open-source projects is a big plus
Company
Location
Montreal - Canada
Job type
Full-Time
Golang Job Details
Company Description
Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of the following communities do not hesitate to register, even if you feel that this particular opportunity is not the right fit for you.
Company Name: Binance
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We are looking for several talented Data Engineer interns to join our Risk team. He/She will have the chance to be involved in the development of the Data Engineering lifecycle implementations and enhancement over cloud-based large-scale distributed architectures and work in a cross-national team with various stakeholders including but not limited to software developers (Backend, Data Warehouse Engineer, Data Analyst, Data Scientist) and fellow Sr. Data Backend Developers.
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