
Data Solutions Architect
21 hours ago
As a leading Data Solutions Architect, you'll be responsible for designing and implementing cutting-edge data pipelines in the cloud.
This exciting role involves leveraging PySpark and AWS Glue to build robust ETL processes that drive business decisions.
You will collaborate with analysts and stakeholders to ensure high-quality data is available when needed.
The ideal candidate will possess strong hands-on experience with PySpark, Python, and SQL.
Proficiency in Git and AWS services such as S3, Lambda, Redshift, Athena, DynamoDB, and EventBridge is also required.
Familiarity with Databricks and its ecosystem is a plus.
- Bachelor's degree in Computer Science, Data Science, or related field (Master's preferred).
- Strong problem-solving and communication skills are essential.
Additional benefits include:
- Opportunity to work on diverse data projects and contribute to the company's growth.
- A collaborative and dynamic work environment.
Key responsibilities:
- Design and implement scalable data lakes using AWS S3 and related services.
- Work with Amazon DynamoDB and Redshift for high-performance data storage.
- Create interactive dashboards using Amazon QuickSight.
- Automate workflows with AWS Step Functions, Lambda, and EventBridge.
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