Data Engineer

The Data Engineer designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.

• Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
• Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
• Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
• Helps to leverage Infrastructure as Code to support the data products.
• Implements appropriate data formats to improve data usability and accessibility across the organization.
• Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
• Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
• Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
• Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.

Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Experience:

• Professional experience as Software Engineer
• Experience with the following is preferred:
• Python
• Snowflake Database
• SQL
• Terraform
• Docker
• Experience with KNIME Analytics Platform