Design, develop, and maintain scalable data pipelines including complex algorithms
Build and maintain UI backend services using Python or C# or similar, ensuring responsiveness and high performance
Ensure data quality and integrity through robust validation processes
Strong understanding of data integration and data modeling concepts
Lead data integration projects and mentor junior engineers
Collaborate with cross-functional teams to gather data requirements
Collaborate with data scientists and analysts to optimize data flow and storage for advanced analytics
Take ownership of the modules you work on, deliver on time and with quality, ensure software development best practices
Utilize Redis for caching and data storage solutions to enhance application performance.
What Were Looking For:
Bachelor's degree in Computer Science, or a related field
Strong analytical and problem-solving skills
7+ years of experience in Data Engineering/Advanced Analytics
Proficiency in Python and experience with Flask for backend development.
Strong knowledge of object-oriented programming.
AWS Proficiency is a big plus: ECR, Containerization, Batch, Step Functions, Redis, Dynamodb
Experience with SQL and data warehousing
Experience with data manipulation libraries and analytical frameworks such as: such as Spark, Pandas, Polars, NumPy, Metaflow
Experience with Gitlab CI/CD or similar tools for continuous integration and deployment
Return to Work
Have you taken time out for caring responsibilities and are now looking to return to work As part of our Return-to-Work initiative, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
