Amsterdam, North Holland, Netherlands
Experienced Software Engineer, Google Cloud Certified Professional Data Engineer, with a demonstrated history of working in Big Data Analytics and Machine Learning. Skilled in Big & Fast Data Architecture(Lambda, Kappa, Data/Delta Lake), Apache Spark, Spark Streaming, Apache Flink, Scala and Cloud(AWS, GCP, Azure). Strong engineering professional with a Bachelor of Science in Computer Engineering with Minor Degree in Business Administration.
Responsible for leading the migration of backend systems to Google Cloud Platform (GCP), ensuring high availability and scalability. Work involves developing and maintaining Scala and Python applications running on Kubernetes and Dataproc, collaborating closely with architects to define and implement best-in-class cloud architecture, and mentoring team members on design patterns, cloud-native practices, and operational excellence. Key Responsibilities: Lead migration of backend services and big data workloads to GCP, optimizing for reliability and performance. Design, implement, and maintain Scala applications running in Kubernetes clusters. Collaborate with solution architects on system architecture and cloud best practices. Mentor engineers on coding standards, cloud patterns, and Kubernetes operations. Ensure systems are highly available, resilient, and scalable in cloud environments.
Building, scaling, deploying Big & Fast Data Applications by using following technologies: Scala, Java, Python Apache Spark, Spark Streaming, Spark MLlib, Apache Flink, Apache Beam, Akka Stream AWS: EMR, EC2, ECS, S3, RedShift etc. Google Cloud: DataFlow, DataProc, BigQuery, Spanner, Storage Orchestration: Apache Airflow API: Akka Http, Spring Boot
New Business Development Department Back-end Stack: Scala, Java; Akka Http, Spring Boot; Dynamo DB, ElasticSearch, Redis DevOps Tools: Docker; Mesos, Elastic Container Service, Jenkins Big & Fast Data Stack: Scala, Akka, Akka Stream, Spark, Spark Streaming, Kinesis, S3