Overview
As a Senior Data Engineer (Senior Associate), you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.
Responsibilities
- Develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.
- Collaborate with Architects and Lead Engineers to ensure the software supports non-functional requirements.
- Collaborate with colleagues to resolve implementation challenges and ensure code quality and maintainability; lead by example in code quality.
- Work with operations teams to ensure operational readiness.
- Advise customers and managers on estimated effort and technical implications of user stories and journeys.
- Coach and mentor team members.
Minimum (Essential) Requirements
- Experience with FHIR
- 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 visualisation 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
- Practical experience with AI technologies, tools, processes and delivery
Seniority level
Employment type
Job function
- Engineering, Consulting, and Information Technology
Industries
- IT Services and IT Consulting, IT System Custom Software Development, and IT System Design Services