About this role
We are seeking an experienced Data Engineer to join a large-scale Billing Transformation programme. The engineer will be responsible for designing and implementing data solutions that support our ratings engine and billing processes.
Key Responsibilities:
- Develop and maintain data pipelines using AWS Glue and Snowflake.
- Utilize Python and PySpark for data processing and transformation tasks.
- Write and optimize SQL queries for data retrieval and manipulation.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Implement CI/CD processes to ensure smooth deployment of data solutions.
- Work with financial data processing and SAP invoice feeds to enhance billing accuracy.
Required Skills & Qualifications:
- Strong experience with AWS Glue, Snowflake, Python, and PySpark.
- Proficient in SQL and data modeling techniques.
- Familiarity with usage-based billing and rating engine concepts.
- Experience in financial data processing and integration with SAP systems is a plus.
- Excellent problem-solving skills and attention to detail.
Experience:
- 5 to 9 years of relevant experience in data engineering or similar roles.
What we offer:
- Opportunity to work on a high-impact project in a dynamic environment.
- Collaborative team culture with a focus on innovation.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.