Develop and maintain complex Big Data solutions and data pipelines for streaming and batch processing
Process and stream data from various sources into big data platforms to enable analyses and reporting of large-scale transactional data
Work with Hadoop for storage and processing and Apache tools such as Airflow for workflow management
Implement and support solutions using Kafka, Spark, Hive and Google Cloud Dataflow, Pub/Sub, BigQuery and BigTable
Support container-based microservices running on Kubernetes/OpenShift and work with Scala, Java and Spring Boot
Collaborate within a team of Developers and Data Engineers and the Accounts & Payments domain; participate in decision-making and guide less experienced colleagues
Requirements
Experienced Solution Developer; experience developing Spark or Spring Boot applications and solutions from scratch
Proficient programming skills in Java and Scala
Some experience with Cloud Solutions and infrastructure as code
Experience with Hadoop, Apache Airflow, Apache Kafka, Spark and Hive
Experience with Google Cloud components (Dataflow, Cloud Functions, Pub/Sub, BigQuery, Bigtable) is preferable
Experience with container-based microservices, Kubernetes and OpenShift
Interest in expanding knowledge and new ways of working
Ability and willingness to share knowledge and coach colleagues
Experience working agile; SAFe experience is a plus
Strong problem-solving skills with systematic and innovative approach
Excellent communication and documentation skills
Fluent English in verbal and written communication
Candidate must meet the requirements of Article 34.5 of the Credit Institution Law
Benefits
Extensive training and learning opportunities
A role with involvement in decision-making and technical road map
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