Senior Data Engineer

6 days ago

Belfast, United Kingdom Kainos Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Kainos. As a Senior Data Engineer, you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale.

Key Responsibilities
  • Design and develop data processing software primarily for deployment in Big Data technologies, encompassing the full software lifecycle including design, code, test, and defect resolution.
  • Work with Architects and Lead Engineers to ensure the software supports non-functional needs.
  • Collaborate with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high, leading by example in code quality.
  • Work with operations teams to ensure operational readiness.
  • Advise customers and managers on the estimated effort and technical implications of user stories and user journeys.
  • Coach and mentor team members.
Requirements
  • Strong software development experience in one of Java, Scala, or Python.
  • Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.
  • Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment.
  • Proficient in SQL and SQL extensions for analytical queries.
  • Solid understanding of ETL/ELT data processing pipelines and design patterns.
  • Aware of key features and pitfalls of distributed data processing frameworks, data stores, and data serialization formats.
  • Able to write quality, testable code and has experience of automated testing.
  • Experience with Continuous Integration and Continuous Deployment techniques.
Desirable Requirements
  • Experience of performance tuning.
  • Experience of data visualization and complex data transformations.
  • Experience with streaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products.
  • Expertise in continuous improvement and sharing input on data best practice.

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