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1 day ago
Our team focuses on designing and building data warehousing and data lake solutions to support business analytics. We gather and analyze data from diverse systems to identify trends, improve operational efficiency, and drive strategic decision-making.
We aim to provide stakeholders with timely and accurate information to navigate complex market dynamics and maintain a competitive edge. Through ongoing monitoring and refinement of key business metrics, we play a critical role in shaping the company's data strategy and optimizing business outcomes.
In this role, you will design and implement robust data pipelines using AWS, Python, and SQL to support business analytics across multiple domains. You will ensure data integrity and performance of data processing and storage systems while creating and managing data lakes and warehouses.
Your responsibilities will include optimizing data flows within AWS, developing scalable ETL processes and APIs, troubleshooting data issues, and documenting solutions for compliance and future reference.
The ideal candidate will have strong technical skills, excellent problem-solving abilities, and a passion for working with large datasets. If you are looking for a challenging role that offers opportunities for growth and development, please continue reading.
About the Job:
- Design and implement data pipelines using AWS, Python, and SQL
- Optimize data flows within AWS and develop scalable ETL processes
- Troubleshoot data issues and document solutions for compliance and future reference
- Work with cross-functional teams to deliver high-quality solutions
- Continuously improve existing systems and assess new technologies
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