Data Engineer – Associate (225-902)

As a Data Engineer – Associate, you will be an integral part of a dynamic team, responsible for designing, building, and maintaining scalable data pipelines that assist the organization in enhancing its data-driven decision-making capabilities. You will work closely with data analysts and scientists, utilizing your skills in data modeling, ETL development, and cloud platform technologies. Your role will focus on ensuring efficient data storage, retrieval, and transformation, and you’ll play a critical part in developing strategies that increase data accessibility, reliability, and quality. With a commitment to innovation and continuous improvement, your contributions will directly affect how data is leveraged to drive the company’s success in the competitive market.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists and analysts to understand and meet data requirements.
• Optimize and enhance data ingestion, storage, and retrieval mechanisms for efficiency.
• Develop and implement strategies for data cleansing and quality assurance.
• Monitor data pipeline performance and perform necessary troubleshooting and corrections.
• Ensure data security and compliance with data protection regulations and guidelines.
• Manage and store structured and unstructured data across different platforms.
• Automate manual pipelines wherever possible to increase productivity and reduce errors.
• Work with cloud technologies to manage data storage and processing capabilities.
• Stay updated with emerging trends and technologies in data engineering fields.
• Provide technical support and training to team members regarding data processes.
• Document processes, models, and data pipeline configurations for future reference.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven experience in data engineering, data warehousing, or a related area.
• Strong proficiency in SQL and experience with database management systems.
• Familiarity with ETL tools and data integration processes is essential.
• Experience with cloud platforms (such as AWS, GCP, or Azure) desirable.
• Solid understanding of data architecture, modeling, and frameworks.
• Excellent problem-solving skills and attention to detail in your work.
• Ability to work effectively as part of a team and independently.
• Strong communication skills to convey complex data concepts clearly.
• Knowledge of programming languages such as Python or Java is advantageous.