Data Engineer Associate (225-929)

A Data Engineer Associate plays a crucial role in managing and optimizing data pipelines and data processing systems within an organization. They are responsible for assisting in the design, implementation, and maintenance of scalable data architecture as well as ensuring the smooth flow of data across various platforms. Working closely with data scientists and other team members, a Data Engineer Associate helps in building efficient data solutions that support data analytics and business intelligence initiatives. This role requires a firm grasp of programming languages, an understanding of database management, and foundational knowledge in data modeling and schema design. A keen eye for detail and the ability to troubleshoot issues efficiently are also essential in this role. The role is ideal for individuals with an analytical mindset and a passion for leveraging data to drive company success.

Responsibilities

• Assist in the development and maintenance of scalable data pipelines effectively.
• Collaborate with data scientists to ensure seamless data integration and usability.
• Monitor data performance and implement measures to improve data reliability.
• Support data infrastructure troubleshooting and optimize for efficiency and scalability.
• Work with cross-functional teams to manage data architecture and processing needs.
• Participate in the design of data flow processes and improve data accessibility.
• Implement best practices for data management and ensure compliance with policies.
• Conduct data quality assessments and suggest improvements where necessary.
• Help migrate data and systems to cloud-based solutions as needed.
• Provide technical support for data-related issues and resolve processing failures.
• Document data processes and system configurations for future reference.
• Assist in evaluating new data technologies and tools for potential integration.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• Proficiency in programming languages such as SQL, Python, or Scala.
• Basic understanding of data warehousing design and data modeling techniques.
• Experience with ETL processes and data integration tools is advantageous.
• Strong problem-solving skills and attention to detail for data management.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent communication skills to effectively collaborate with technical teams.