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• No of position :- ( 1 )

• Post :- 19th Jul 2024

• Design, develop, and maintain data processing applications using Python and Spark.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Implement and manage data pipelines in AWS, utilizing services such as S3, EMR, Lambda, and Redshift.
• Optimize and enhance existing data processing systems for performance, scalability, and reliability.
• Conduct code reviews and provide constructive feedback to team members.
• Troubleshoot and resolve issues related to data processing and cloud infrastructure.
• Stay updated with the latest industry trends and technologies related to big data, Python, and cloud computing.
• Document and maintain clear and comprehensive technical documentation for data processing systems.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 7+ years of experience in Python development.
• 2+ years of experience working with Apache Spark for big data processing.
• Strong experience with AWS services, including S3, EMR, Lambda, Redshift, and CloudFormation.
• Proficiency in SQL and experience with relational databases.
• Familiarity with data warehousing concepts and ETL processes.
• Experience with containerization technologies such as Docker and Kubernetes is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work effectively in a fast-paced, team-oriented environment.