Data Infrastructure Specialist
3 days ago
In this key position, you will be responsible for designing and implementing data architecture that supports our cutting-edge AI-driven solutions for the hospitality industry.
This is a hands-on role where you will create scalable data pipelines, optimize Extract Transform Load (ETL) processes, and ensure high data quality and reliability across the organization.
Main Responsibilities:- Develop efficient ETL processes to handle structured and unstructured data from various sources using Python, SQL, and data pipeline tools like Apache Airflow or AWS Glue.
- Design and implement cloud-based data storage solutions using AWS, GCP, or Azure platforms for performance, scalability, and reliability.
- Implement robust data validation, monitoring, and governance processes to maintain high levels of accuracy and consistency.
- Collaborate with cross-functional teams to enable data-driven decision-making and unlock new insights for our products.
You'll thrive in this role if you have expertise in big data technologies such as Spark, Hadoop, or Kafka, and experience working with cloud platforms to implement scalable data systems.
The ideal candidate should also understand ETL processes, database design, data normalization, data lake architectures, and API integrations. A Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field is preferred.
We offer a competitive salary range of $125,000 - $150,000 based on experience, plus benefits and opportunities for professional growth in a rapidly expanding team.
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