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Description

Responsibilities:

• Design, implement, and maintain data pipelines, data warehouses, and other data solutions using AWS services.

• Develop and implement ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading into data storage systems.

• Create and manage data models to ensure data integrity and facilitate efficient data analysis.

• Implement and maintain data security and compliance measures, including access controls, encryption, and data masking.

• Ensure data quality, accuracy, and consistency through data validation, cleansing, and monitoring.

• Collaborate with data scientists, business analysts, SAP functional SMEs and other stakeholders to understand requirements and deliver data solutions that meet business needs.

• Diagnose and resolve data-related issues and performance bottlenecks.

Requirements

Required Education & Experience:

• Bachelors’ degree in Information Technology or related field. Additional years of experience may be considered in lieu of a degree.

-2-4 years of experience in relevant roles.

• Proficiency in AWS services such as S3, Redshift, DMS, Glue, and Lambda.

• Experience with data warehousing concepts and technologies.

• Strong SQL skills for data querying and manipulation.

• Proficiency in programming languages like Python or Java.

• Understanding of data modeling principles and techniques.

• Experience with ETL (Extract, Transform, Load) processes and tools.

• Knowledge of data security best practices and compliance requirements.

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration skills.

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