
Big Data Processing Specialist
2 days ago
We are seeking a highly skilled Big Data Processing Specialist with expertise in Python programming and the PySpark framework. The ideal candidate will have hands-on experience working with AWS Glue, parallel batch processing, and popular libraries such as pandas and numpy. This role requires knowledge of other AWS services like ECS, ECR, Docker, CloudWatch, and Athena.
Roles & Responsibilities:- Design and develop data processing solutions using Python programming.
- Apply expertise with the PySpark framework for big data processing tasks.
- Work extensively with AWS Glue and PySpark to build and manage data pipelines.
- Utilize popular Python libraries such as pandas, numpy, and joblib to enhance data manipulation and processing.
- Conduct parallel batch processing with Python to handle large-scale data.
- Work with AWS Batch and Step Functions to orchestrate and manage data workflows.
- Use knowledge of AWS ECS, ECR, and Docker for containerization and deployment.
- Leverage knowledge of CloudWatch, Athena, and other AWS services for monitoring, analytics, and data management.
- Collaborate with data scientists and engineers to understand requirements and deliver efficient solutions.
- Troubleshoot and optimize data processing jobs for performance and cost efficiency.
Required Skills & Qualifications:
- Strong working experience in Python programming.
- Expertise with PySpark framework.
- Hands-on experience working with AWS Glue and PySpark.
- Strong experience with using pandas, numpy, joblib, and other popular libraries.
- Good working experience with parallel batch processing with Python.
- Good working experience on AWS Batch and Step Functions.
- Good experience with AWS ECS, ECR, Docker.
- Good knowledge on CloudWatch, Athena, and other AWS services.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Benefits:
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