Data Engineer Associate (225-815)

We are seeking a skilled and detail-oriented Data Engineer Associate to join our dynamic team. As a Data Engineer Associate, you will play a vital role in building and optimizing our data infrastructure and pipeline architecture. You will be responsible for gathering and managing large datasets from various sources, ensuring they are stored and processed efficiently for analytical purposes. The ideal candidate will have a strong foundation in data engineering principles and be eager to grow in a fast-paced, innovative environment. If you are passionate about data and eager to work on projects that will impact the organization's decision-making processes, we welcome you to apply and become part of our journey.

Responsibilities

• Develop and maintain scalable data pipelines for efficient data processing.
• Work closely with data scientists to build robust analytics tools.
• Ensure data reliability, efficiency, and quality through rigorous testing and validation.
• Collaborate with the IT department to align data architecture with business goals.
• Implement data management best practices, including data governance and security.
• Monitor and improve the performance of data processing and storage systems.
• Assist in integrating new data management technologies with existing systems.
• Document data workflows and data structure to support transparency and reuse.
• Engage in data cleaning and transformation to ensure dataset accuracy.
• Support troubleshooting and resolution of data-related technical issues.
• Report on data analytics and pipeline efficiency to project stakeholders.
• Stay updated with the latest trends and technologies in data engineering.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficiency in SQL, Python, or similar programming languages for data manipulation.
• Experience with cloud technologies such as AWS, Google Cloud, or Azure.
• Familiarity with big data tools like Hadoop, Spark, or Kafka is an advantage.
• Strong analytical and problem-solving skills for effective data modeling.
• Excellent written and verbal communication skills to facilitate team collaboration.
• Ability to handle multiple tasks and prioritize effectively in a fast-paced environment.