
Senior Data Pipeline Developer
1 day ago
Key Responsibilities:
- Design and maintain data pipelines to drive business insights.
- Implement ETL processes for large datasets using Python and AWS technologies.
- Maintain data integrity, security, and accessibility through robust architecture.
- Develop data solutions that meet business needs in collaboration with cross-functional teams.
A Data Engineer will play a key role in designing, developing, and maintaining complex data pipelines. The successful candidate will work closely with teams to deliver high-quality data solutions.
The ideal candidate will have strong technical skills in ETL tools, SQL, and data warehousing concepts. They will be responsible for implementing and optimizing ETL processes for large datasets, ensuring timely delivery of quality results.
This is a highly visible role where the engineer's expertise will enable us to make informed decisions and stay ahead of the competition.
Required qualifications include 5+ years of experience in data engineering with Python and AWS technologies, as well as a strong understanding of data modeling concepts and data visualization tools.
We are looking for someone who can communicate effectively with both technical and non-technical stakeholders.
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