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You will be updated with latest job alerts via emailVisa is seeking a Staff Data Engineer in the Data Platform department to build and manage Visas technology assets in the Data as a Service organization. At this role you will work on one or more DaaS solutions which includes design architecture and coding. You will be responsible for developing a large scale multitenant software components with in DaaS team. You will have the opportunity to Collaborate with stakeholders and Product owners.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications
6 years of relevant work experience with a Bachelors Degree or at least 3 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD.
Preferred Qualifications
Masters or Bachelor degree in Computer science or related fields required.
Minimum of 4 years of experience in building data driven business solutions and solving data problems.
Minimum of 3 years of experience in building largescale data solutions using open source technologies. Design and coding skills with Big Data technologies like Hadoop Spark Hive Kafka
Minimum of 3 years of handson expertise with Java or Scala or Python
Experience with highly distributed scalable concurrent and low latency systems working with one or more of the following database technologies: DB2 MS SQL MySQL and NoSQL.
Experience with Continuous Integration tools such as Jenkins Artifactory etc is desirable
Experience with data visualization and business intelligence tools like Power BI is a plus
Exposure to build REST services and APIs following best practices and Experience with Docker and Kubernetes is advantageous
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
Full-time