
Senior Data Engineer Position
2 weeks ago
Our team is seeking a skilled Data Engineering professional to join our organization.
- 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.
Requirements:
- 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: Spark, Pandas, Polars, NumPy, Metaflow.
- Experience with Gitlab CI/CD or similar tools for continuous integration and deployment.
What We Offer:
- Return-to-Work initiative support for enthusiastic and talented returners.
Additional Information:
- Have you taken time out for caring responsibilities and are now looking to return to work?
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