The company is looking to enhance its data management capabilities and optimize data flow and storage through the development and maintenance of scalable data processing solutions.
Requirements
- Demonstrate expertise in Python programming for data processing and analysis.
- Possess strong experience with AWS Glue Studio AWS Glue ETL and AWS Glue Catalog for data integration.
- Have a solid understanding of Amazon S3 for data storage and management.
- Show proficiency in Apache Spark for large-scale data processing.
Responsibilities
- Develop and maintain scalable data processing solutions using Python and AWS Glue technologies to enhance data management capabilities.
- Collaborate with cross-functional teams to design and implement data pipelines that optimize data flow and storage in Amazon S3.
- Utilize Apache Spark for efficient data processing and analysis ensuring high performance and reliability of data solutions.
- Implement best practices for data integration and transformation using AWS Glue ETL to support business intelligence and analytics.
- Monitor and troubleshoot data workflows to ensure seamless operation and timely resolution of issues.
- Provide technical guidance and support to team members fostering a collaborative and innovative work environment.
- Conduct code reviews and ensure adherence to coding standards and best practices to maintain code quality and consistency.
Other
- This hybrid role offers the opportunity to work on innovative projects that drive our company’s success and impact society positively.
- Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in Charlotte, NC.
- Exhibit strong problem-solving skills and attention to detail.
- Ability to work effectively in a hybrid work model and collaborate with remote teams.
- The annual salary for this position is between $68,000 - $109,000 depending on experience and other qualifications of the successful candidate.
