Required Skills: Data lake, Aws certification,

Job Description

• Extensive experience in developing/ building AWS Data Lake formation, contributing extensively to design, development and writing code.
• Experience in modernizing legacy applications, which should include refactoring/migrating in-house legacy applications to the cloud environment.
• Proficient in utilizing AWS services and related components towards building enterprise level Data Lakes.
• Must have experience in Data Ingestion & Storage, Data Processing & Transformation and working with AWS Machine Language using appropriate AWS services.
• Experience in customizing AWS ETL logic using Python code.
• Knowledgeable and experience in security and data governance covering areas such as fine-grained permissions, managing user and service permissions, data encryption, auditing, and compliance.
• Experience in software development with hands-on skills in Python scripting, and any prior experience in Object oriented languages is a plus.
• Experience working with any transactional or RDMS databases
• Experience with DevOps, DevSecOps, Iac, automation, building CI/CD pipelines, monitoring, and logging.
• Knowledge / experience using any ETL tools, experience with data analytics using PowerBI or AWS QuickSight etc. is plus.
• Must have experience/familiar with Agile/Scrum Framework environments.