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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Jan 2024

• Design, implement, and optimize cloud-based solutions on AWS, leveraging services such as S3 for scalable data storage.
• Develop serverless applications using AWS Lambda for efficient and cost-effective execution of functions.
• Implement and manage data warehouses on AWS Redshift for high-performance analytics.
• Implement and manage visualisation/reports using Tableau.
• Utilize Matillion for ETL processes, ensuring efficient data extraction, transformation, and loading.
• Collaborate with cross-functional teams to understand data requirements and design effective solutions.
• Write code in Python for data processing, automation, and application development.
• Ensure the security, availability, and performance of AWS-based systems.
• Troubleshoot issues related to AWS cloud services and data engineering processes.
• Document technical solutions, best practices, and guidelines.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Minimum of 5 years of experience in AWS cloud engineering and data operations.
• Proficiency in AWS services, with a focus on S3, Lambda, and Redshift.
• Proficiency in using and managing Tableau.
• Experience with Matillion for ETL processes and data integration.
• Strong programming skills in Python and C#.
• Knowledge of AWS services such as Glue, Athena, etc.
• Understanding of data warehousing concepts and best practices.
• Ability to work collaboratively in a team environment.
• Excellent problem-solving and troubleshooting skills.

Preferred Skills:

• AWS certifications related to cloud engineering and data analytics.
• Experience with continuous integration/continuous deployment (CI/CD) pipelines.
• Previous work on large-scale data migration projects.