Description

You will support the global transformation from on-premise services to the OneData AWS and Qlik platform.

Responsibilities

• Deploy, monitor, and troubleshoot AWS serverless resources and system components.
• Design and implement data models tailored to specific business use cases.
• Execute data processing and manipulation tasks using Python.
• Optimize AWS service performance and resolve technical issues across the data stack.
• Manage version control and deployment workflows using Git.

Required Skills

• 5+ years of experience in data or business intelligence roles.
• Proficiency with AWS serverless services including Athena, Glue, Lambda, S3, and Lake Formation.
• Strong experience with AWS Glue for ETL operations, including Glue Catalog, Jobs, and Crawlers.
• Deep knowledge of AWS S3 for data storage, bucket management, and security.
• Experience using AWS Lake Formation to manage and secure data lake architectures.
• Ability to query data using AWS Athena and optimize SQL queries for performance.
• Working knowledge of AWS Redshift for data warehousing, modeling, and performance tuning.
• Familiarity with AWS Aurora for relational database management and optimization.
• Solid understanding of general networking and accessing data via Web APIs.
• Competency in AWS security best practices, including IAM roles, security groups, and encryption.
• Proficiency in Python for data manipulation.
• Experience with Git source control systems.

Key Skills

Education

Any Graduate