Responsibilities:

• Develop and maintain data pipelines, ensuring robustness, reliability, and scalability.
• Utilize your strong SQL skills to extract, transform, and load data from various sources into our data warehouse.
• Leverage Python to automate processes, implement data transformations, and develop custom solutions.
• Work with AWS services such as Glue and Redshift to build and optimize our cloud-based data infrastructure.
• Collaborate with stakeholders to gather requirements, understand business needs, and deliver effective data solutions.
• Communicate effectively with team members and stakeholders, providing updates on project status and addressing any concerns or issues.
• Demonstrate agility and adaptability, consistently meeting tight deadlines and delivering high-quality work under pressure.
• Stay updated on industry trends and best practices in data engineering, contributing to continuous improvement i...