Senior Data Engineer Transformation Lead

1 semana atrás


Porto, Porto, Portugal Five9 Tempo inteiro
About Five9

Five9 is a leading provider of cloud contact center solutions, dedicated to helping businesses deliver exceptional customer experiences.

Job Description:Data Engineer (Senior) Job Summary

We are seeking an experienced Data Engineer to join our team. As a senior data engineer, you will be responsible for designing, building, and maintaining large-scale data systems on Google Cloud Platform.

Key Responsibilities:
  • Design and implement high-quality, scalable data pipelines using Apache Beam, Apache Flink, or similar technologies.
  • Develop and maintain efficient data processing workflows using SQL, NoSQL databases, and data messaging systems like Kafka.
  • Collaborate with cross-functional teams to identify business requirements and translate them into actionable data solutions.
  • Implement data security and access models to ensure the integrity and confidentiality of sensitive data.
  • Work with developers to automate data-driven workloads and integrate real-time anomaly detection into ETL pipelines.
Requirements and Qualifications:
  • 5+ years of software development experience in Java using Spring Boot framework.
  • Hands-on experience with SQL or optimisations in NOSQL database.
  • Experience with data messaging systems like Kafka, Pub/Sub experience with data serialisation formats like AVRO or PROTOBUF.
  • Experience with designing and building highly available and scalable applications in GCP.
  • Experience and hands on skills with GCP Products such as Google Big Query, Cloud Storage, Cloud Functions, Pub/Sub, App Engine, Cloud SQL.
  • Experience and hands on skills with Docker, Kubernetes.
  • Experiences working on data streaming services like FLINK/Spark/dataflow is a plus.
  • Good understanding of private and public cloud design considerations and limitations in the areas of virtualisation and global infrastructure, distributed systems, load balancing and networking, event processing, massive data storage and security.
  • Bachelor's degree in an engineering field.
  • An advanced degree in an engineering or a business discipline is highly desirable.
Benefits:
  • $150,000 - $200,000 per year salary range.
  • 5% bonus scheme.
  • 10% flexible benefits package.
  • Meal allowance.
  • Medical insurance.
  • Life insurance.
  • 25 days annual leave + public holidays.


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