Role Description: Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers.
Job Responsibilities:
Application Software Development 6: Develop existing applications and contribute to development of new applications by analyzing and identifying areas for modification and improvement. Develop new routine applications to meet customer requirements.
Design and Conceptualization 5: Research and interpret data, trends, and benchmarks relevant to digital products/services design.
Product and Solution Development 5: Carry out a range of product development and engineering activities. Use established systems to analyze customer needs and define and deliver products.
Technical Developments Recommendation 6: Discuss and recommend technical developments to improve the quality of the website/portal/applications software and supporting infrastructure to better meet users needs.
Applications Software Maintenance 5: Monitor, identify, and correct straightforward software defects to maintain fully functioning applications software.
What youll bring
You know how to build data products using modern technology and best practice engineering principles. You can work in a global and modern environment with high pace and quick iterations. You are kind and helpful. You can engage with stakeholders and customers to find solutions to problems. You are fluent in the English language.
Technical skill expectations:
Snowflake. Python. SQL. Cloud development and data environments (Azure). Continuous deployment. Data Warehouse experience.
Non-critical but commendable skills:
You have domain knowledge / experience in cybersecurity domain. Data Analytical Skills. Data Modelling. DBT (Data Build Tool).