
AWS Cloud Data Specialist
1 week ago
This role involves designing and developing robust data pipelines on the AWS platform using Spark and PySpark.
- Key Responsibilities:
- Design, develop, and maintain efficient ETL/ELT workflows on AWS for large-scale data processing tasks.
- Optimize performance and reliability of complex data pipelines across various AWS services.
- Collaborate with data engineers to implement scalable data architectures and ensure seamless integration with existing systems.
- Required Skills and Qualifications:
- At least 6 years of experience in data engineering with a focus on cloud-based solutions.
- Strong proficiency in Python, SQL, and Spark, with hands-on experience in implementing distributed computing models.
- Excellent problem-solving skills and ability to communicate effectively with cross-functional teams.
- Familiarity with CI/CD practices for managing data pipelines and a solid understanding of data governance principles.
- Key Performance Indicators (KPIs):
- Deliver high-quality data pipelines within agreed-upon timelines.
- Ensure optimal performance, scalability, and security of data processing workflows.
- Bonus Points:
- Experience with cloud-native data storage solutions like S3 and Redshift.
- Knowledge of AWS Lambda and serverless computing concepts.
- How to Apply:
If you possess the necessary qualifications and are passionate about working with cutting-edge technologies, please submit your application. We look forward to reviewing your qualifications.
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