Responsibilities:

• Collaborate with stakeholders to understand business requirements and define data engineering solutions for the new data architecture
• Design and develop data pipelines, ETL processes, and data models to support data integration and transformation
• Implement data governance practices to ensure data quality, security, and regulatory compliance standards are met
• Work with IT teams to integrate data solutions with existing systems and applications
• Optimize data storage and retrieval processes to improve performance and scalability
• Conduct data analysis to identify insights and trends that drive informed business decisions
• Stay up to date on the latest data technologies and best practices in data engineering

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
• 3+ years of experience in data engineering, with a focus on designing and implementing data solutions
• Proficiency in working with on-premise and cloud data technologies (e.g., SQL Server, AWS, Azure, Google Cloud)
• Strong programming skills in languages such as Python, SQL, or Java
• Knowledge of data modeling, ETL processes, and data warehousing concepts
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus
• Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders