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• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 27th Jan 2024

Key Responsibilities:

·         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.