
Highly Skilled Data Architect
23 hours ago
Job Description:
We are seeking a skilled professional to design and develop scalable data pipelines using Python and PySpark. The ideal candidate will have strong proficiency in Python and experience with cloud platforms like GCP and/or AWS.
The successful candidate will be responsible for building, deploying, and managing data pipelines, as well as developing and optimizing ETL/ELT processes to support data integration across systems. Strong communication skills and the ability to work collaboratively in a team environment are also essential.
Key Responsibilities:
- Designing and developing scalable data pipelines using Python and PySpark
- Building, deploying, and managing data pipelines
- Developing and optimizing ETL/ELT processes
- Working directly with GCP and AWS services
Requirements:
- Strong proficiency in Python
- Experience with cloud platforms like GCP and/or AWS
- Solid understanding of ETL/ELT, data warehouse, and data lake concepts
Benefits:
We offer a fast-paced, execution-heavy team environment where you can innovate with Generative AI tools and have ownership from day one. Our team is passionate about delivering high-quality solutions that drive business results.
Others:
We are committed to creating a culture of continuous learning and growth. If you're someone who enjoys building robust data pipelines, delivering solutions that directly impact the business, and continuously monitoring and improving pipeline reliability, speed, and data quality, then we'd love to hear from you.
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