Senior AWS Data Engineer - (Hybrid)

We are seeking a skilled AWS Data Engineer to join our team and contribute to the design, development, and implementation of robust data solutions on the AWS platform. As a Data Engineer, you will work closely with cross-functional teams to understand data requirements, architect data pipelines, and ensure efficient data processing, storage, and retrieval. Your expertise in AWS services and data engineering best practices will be instrumental in optimizing our data infrastructure and enabling data-driven decision making.

Responsibilities:

• Collaborate with stakeholders to understand data requirements and translate them into scalable and efficient data solutions on the AWS platform.
• Design, develop, and maintain data pipelines and ETL workflows to extract, transform, and load data from various sources into our data lake or data warehouse.
• Implement data quality controls, data governance frameworks, and monitoring mechanisms to ensure data accuracy, integrity, and compliance.
• Optimize and fine-tune AWS services, including AWS Glue, Amazon Redshift, Amazon S3, and AWS Lambda, to maximize data processing speed, scalability, and cost efficiency.
• Collaborate with data scientists and analysts to provide them with clean, reliable, and accessible data for advanced analytics and reporting purposes.
• Stay updated with the latest AWS services, tools, and trends in data engineering and proactively identify opportunities to enhance our data infrastructure and processes.