AWS Data Engineer - w2 (& USC)

Design, build, and maintain data processing systems and pipelines on the AWS cloud platform utilizing AWS services like S3, Redshift, DMS, and Glue like to construct scalable, reliable, and efficient data solutions. Responsibilities include data modeling, ETL processes, and ensuring data quality and security.

Key Responsibilities:

• Data Architecture and Infrastructure: Design, implement, and maintain data pipelines, data warehouses, and other data solutions using AWS services.
• ETL Processes: Develop and implement ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading into data storage systems.

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

• Data Security and Compliance: Implement and maintain data security and compliance measures, including access controls, encryption, and data masking.

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

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

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

• Staying Updated: Keep up with the latest AWS services and data engineering best practices.

Skills and Qualifications:

• AWS Services: Proficiency in AWS services such as S3, Redshift, DMS, Glue, and Lambda.
• Data Warehousing: Experience with data warehousing concepts and technologies.
• SQL: Strong SQL skills for data querying and manipulation.
• Programming Languages: Proficiency in programming languages like Python or Java.
• Data Modeling: Understanding of data modeling principles and techniques.
• ETL Processes: Experience with ETL (Extract, Transform, Load) processes and tools.
• Data Security: Knowledge of data security best practices and compliance requirements.
• Problem-Solving: Strong problem-solving and analytical skills.
• Communication: Excellent communication and collaboration skills.