Senior Data Engineer

Kainos•Halifax, NS

109d

About The Position

As a Senior Data Engineer at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale. You will work in agile teams, providing strong development leadership and taking responsibility for significant technical components of data systems. Your role involves designing and developing large-scale data processing software to meet user needs in demanding production environments, primarily for deployment in Big Data technologies. The position covers the full software lifecycle, including design, coding, testing, and defect resolution. You will collaborate with Architects and Lead Engineers to ensure software supports non-functional needs, work with colleagues to resolve implementation challenges, and maintain high code quality and maintainability. You will lead by example in code quality and work with operations teams to ensure operational readiness. Additionally, you will advise customers and managers on the estimated effort and technical implications of user stories and user journeys, and coach and mentor team members. This is a fast-paced environment where making sound, reasoned decisions is important, alongside learning about new technologies and approaches with the support of talented colleagues. You will support colleagues, including more junior members, providing direction and support as you solve challenging problems together.

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 serialisation formats
Able to write quality, testable code and has experience of automated testing
Experience with Continuous Integration and Continuous Deployment techniques

Nice To Haves

Experience of data pipeline development
Experience of Docker and Kubernetes
Experience of performance tuning
Experience of data visualisation and complex data transformations
Experience with steaming 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

Responsibilities

Designing and developing data processing and data persistence software components for solutions which handle data at scale.
Providing strong development leadership and taking responsibility for significant technical components of data systems.
Working within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.
Working to develop data processing software primarily for deployment in Big Data technologies.
Encompassing the full software lifecycle including design, code, test and defect resolution.
Working with Architects and Lead Engineers to ensure the software supports non-functional needs.
Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high.
Leading by example in code quality.
Working with operations teams to ensure operational readiness.
Advising customers and managers on the estimated effort and technical implications of user stories and user journeys.
Coaching and mentoring team members.