Data Engineer – Associate 15D25

As an Associate Data Engineer, you will play a crucial role in designing, building, and maintaining scalable data pipelines and architectures to support various business needs. You will work closely with cross-functional teams to enable data-driven decision-making across the organization. Your technical expertise and passion for data will be essential in transforming raw data into actionable insights. You will engage in optimizing data storage and retrieval processes, ensuring data accuracy and integrity. Your role will be central to our data strategy, helping us leverage data assets more effectively and efficiently, ultimately driving business growth and innovation.

Responsibilities

• Design and implement robust data pipelines to capture business-critical information.
• Ensure data integrity and reliability through monitoring and validation routines.
• Collaborate with stakeholders to gather and define data requirements for projects.
• Develop and maintain scalable data architectures, optimizing for performance.
• Work with data scientists to facilitate the deployment of advanced analytics models.
• Implement best practices for data governance and security compliance.
• Conduct performance tuning for data processes to improve efficiency and speed.
• Document data processes and workflows for transparency and knowledge sharing.
• Conduct data extraction, transformation, and loading (ETL) processes efficiently.
• Assist in troubleshooting and resolving data-related issues promptly.
• Participate in code reviews to ensure high-quality data engineering practices.
• Stay updated on emerging technologies and trends in data engineering.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience in data engineering, with expertise in ETL processes.
• Proficiency in SQL and experience with relational databases.
• Familiarity with cloud-based data solutions and services such as AWS or Azure.
• Strong understanding of data modeling and warehousing principles.
• Excellent problem-solving skills and ability to manage complex datasets.
• Experience with data visualization tools and techniques is a plus.