Regional Senior Data Engineer

Position Responsibilities

• Design and Develop Data Pipelines : Create and maintain efficient, reliable, and scalable data pipelines that extract, transform, and load (ETL) data from diverse sources into AWS data storage systems.
• Data Modeling and Architecture : Design and implement data models for data warehousing and data lakes on AWS, ensuring data integrity, performance, and scalability.
• AWS Cloud Infrastructure : Utilize various AWS services such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, Amazon RDS, and others to build data solutions.
• Data Transformation and Processing : Develop data transformation processes, including data cleansing, enrichment, and aggregation, to ensure data accuracy and consistency.
• Performance Optimization : Identify and implement performance optimization techniques to enhance data processing speed and reduce latency in data pipelines.
• Data Security and Compliance : Ensure that data handling practices comply with relevant data security and privacy regulations. Implement security measures to protect sensitive data.
• Monitoring and Troubleshooting : Monitor data pipelines, data jobs, and data storage systems for issues and troubleshoot any data-related problems to ensure smooth data flow.
• Documentation : Create and maintain technical documentation for data engineering processes, data models, and data pipelines.
• Collaboration and Communication : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
• Continuous Improvement : Stay updated with the latest AWS services and data engineering best practices to propose and implement improvements to the existing data infrastructure.

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