Data Engineer Associate (225-806)

The Data Engineer Associate is a pivotal role within our tech-driven organization. As a Data Engineer Associate, you will assist in designing, developing, and optimizing our data architectures, data pipelines, and data sets. This position requires a technical adeptness for manipulating large data sets, honing skills in various data platforms and applications, and collaborating with a multidisciplinary team of data scientists, analysts, and IT professionals. This position is perfect for someone looking to grow their career in data engineering, with a focus on innovation, strategic problem-solving, and data-driven solution delivery. The successful candidate will have a keen interest in data technologies and a passion for leveraging data to drive business success.

Responsibilities

• Assist in the development, construction, and maintenance of data pipelines and architectures.
• Collaborate with data scientists and architects to make the data available for analysis.
• Ensure data models are optimized for performance and scalability across platforms.
• Participate in the design of schemas and data architectures to support business requirements.
• Monitor and maintain data integrity and quality throughout the data lifecycle.
• Assist in troubleshooting and solving data-related issues and problems as they arise.
• Contribute to data processing improvements and automation using ETL tools and scripting.
• Analyze and interpret complex datasets to support decision-making and strategic initiatives.
• Collaborate with cross-functional teams to define data needs and data solutions.
• Assist in creating technical documentation and training materials for data systems.
• Support the data security and compliance practices within the organization.
• Keep up-to-date with industry trends and innovations in data engineering and technologies.

Requirements

• Bachelor's degree in Computer Science, IT, Mathematics, or a related field.
• Proven experience with data processing frameworks like Hadoop, Spark, or Kafka.
• Strong knowledge of SQL, NoSQL, and data warehousing concepts and practices.
• Experience in programming languages such as Python, Java, or Scala is desirable.
• Solid understanding of ETL processes, tools, and data integration practices.
• Strong analytical and problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment and manage multiple priorities.