Data Engineer
Duration : 12 Months
Working Pattern : 5 Working Days per Month
Location : Remote
Overview
We are seeking an experienced Data Engineer with strong hands-on expertise in Snowflake and Python-based ETL development. The successful candidate will build and maintain data pipelines, ensure robust data flow, and support key data initiatives. Experience within healthcare settings and familiarity with Talend would be a strong advantage.
Key Responsibilities
- Develop and maintain scalable data pipelines using Snowflake and Python.
- Write efficient Python scripts for data extraction, transformation, and loading.
- Ensure data quality, consistency, and reliability across all systems.
- Optimise ETL processes and resolve performance issues.
- Collaborate with cross-functional teams including data analysts and business stakeholders.
- (Optional) Use Talend for ETL workflows when needed.
- Maintain comprehensive documentation for data processes and pipelines.
Required Skills
Strong professional experience with Snowflake and data warehousing.Advanced Python scripting skills for ETL development.Solid understanding of data modelling and ETL best practices.Experience working with structured and unstructured datasets.Excellent problem-solving and debugging skills.Nice-to-Have
Experience using Talend.Exposure to healthcare data, systems, or regulatory environments.