
AWS Cloud Data Architect Role
2 weeks ago
We are seeking a highly skilled professional to design, develop, and maintain robust data pipelines using Apache Spark, PySpark, SQL, and Python on the AWS ecosystem.
The ideal candidate will have deep expertise in building scalable data architectures and hands-on experience with AWS services such as Glue, EMR, S3, Lambda, and Redshift.
Key Responsibilities:- Design and develop ETL/ELT pipelines on AWS using Spark and PySpark for optimal performance and reliability.
- Work closely with cross-functional teams to ensure data quality, governance, and security across all pipelines.
- Stay up-to-date with the latest developments in data engineering and cloud computing technologies.
- 6+ years of experience in data engineering with a strong proficiency in Spark, PySpark, SQL, and Python.
- Hands-on experience with AWS data services and solid understanding of distributed computing and data architecture.
- Excellent problem-solving and communication skills with ability to work effectively in a collaborative environment.
- Familiarity with data lake and data warehouse architectures and experience with CI/CD for data pipelines.
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