Data Engineer - Associate (225-818)

As a Data Engineer - Associate, you will be instrumental in shaping the infrastructure that supports our data-driven decision-making processes. You will work alongside a team of skilled data professionals to design, construct, and maintain scalable data pipelines. Your efforts will ensure that data is accessible, reliable, and consistent across the organization, empowering various teams to derive insights and make informed decisions. Engaging in this role means you are passionate about data engineering, possess strong problem-solving abilities, and are eager to learn and grow within a dynamic environment. If you are excited to work with modern data technologies and thrive in collaborative settings, this role presents an excellent opportunity for you to advance your career in data engineering.

Responsibilities

• Design and develop scalable data pipelines to handle large datasets efficiently.
• Implement data integration solutions to consolidate data from diverse sources.
• Collaborate with data scientists and analysts to understand data requirements.
• Ensure data quality and integrity through robust ETL processes and validation checks.
• Optimize database performance through tuning and query optimization strategies.
• Maintain existing systems and infrastructure to ensure data accessibility and security.
• Monitor and resolve issues related to data ingestion and processing workflows.
• Document data engineering processes to facilitate collaboration and transparency.
• Stay abreast of industry trends and advancements in data engineering technologies.
• Support the deployment and management of data engineering tools and platforms.
• Collaborate with cross-functional teams to support business intelligence initiatives.
• Provide recommendations for improving data processing and storage strategies.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Proven experience in data engineering or relevant technical field preferred.
• Proficiency in SQL and experience with relational database management systems.
• Familiarity with data warehousing concepts and ETL processes is required.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud preferred.
• Understanding of data modeling, data structures, and algorithms is essential.
• Excellent problem-solving skills and attention to detail in data management.
• Strong communication and collaboration skills within cross-functional teams.