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Cloud Data Architect for Everyday Banking
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The successful candidate will be responsible for designing and developing data processing solutions using Python, Spark, Kafka, and advanced SQL. Additionally, they will work with cloud databases, including Aurora, RDS, and S3, managing security and access controls effectively.
Required Skills and Qualifications- Bachelor's or equivalent degree in computer science, engineering, or a related field, with a minimum of 3+ years hands-on experience.
- Proficient in Python, Spark, Kafka, and advanced SQL.
- Experience with at least one relational database on AWS RDS, such as SQL Server, or a NoSQL database like DynamoDB.