Senior Data Engineer

Job description


Data Engineering
  • Design and build data pipelines to support data science projects following software engineering best practices
  • Identify, design, and implement internal operational improvements: automating manual processes, optimizing data delivery, improving data quality, re-designing infrastructure for greater scalability, etc
  • Design and deploy high performance systems with reliable monitoring and logging practices and build reusable components, frameworks, and libraries at scale to support analytics products
  • Work with data scientists and analysts to productionize data pipelines and machine learning models, so that they can scale and accommodate various business requirements
  • Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Ensure information security standards are maintained at all time
Programming/software development
  • Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/agile) approaches.
  • Accepts responsibility for creation of test cases using own in-depth technical analysis of both functional and non-functional specifications (such as reliability, efficiency, usability, maintainability, and portability).
  • Creates traceability records, from test cases back to requirements.
  • Produces test scripts, materials, and regression test packs to test new and amended software or services.
People management
  • Mentor and develop data engineers in adopting best practices in virtual teams
  • Participates in reviews of own work and leads reviews of colleagues' work.
  • Create an inclusive working environment
Stakeholder management
  • Partner with the Global Operations business owners, project teams and colleagues at all levels, including senior stakeholders, ensuring their views and requirements are captured
  • Act as the ambassador for the data product, showcasing the key functionalities, driving adoption, and assuring operational excellence together with IT peers
Education & Professional experience
  • Bachelor’s and/or master’s degree, preferably in computer science (or the equivalent)

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