Data Engineer – Associate 10M26

We are seeking a talented and enthusiastic Data Engineer – Associate to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and facilitating efficient data flow. You will partner closely with data analysts, data scientists, and other key stakeholders to ensure that the data infrastructure aligns with business requirements. Your expertise will help us optimize our data architecture and processes to enhance the accessibility and reliability of data across the organization. If you have a passion for building robust data solutions and thrive in a fast-paced environment, we invite you to apply and be a part of our innovative team.

Responsibilities

• Design and implement robust and efficient data pipelines for optimal data flow.
• Collaborate with data analysts and stakeholders to assess data needs and solutions.
• Maintain and optimize existing data infrastructure to support business processes.
• Develop strategies for data acquisition and integration across various platforms.
• Ensure data quality and integrity by implementing quality checks and validation.
• Monitor and improve system performance to meet scalability requirements.
• Create and maintain documentation of data processes and architecture designs.
• Implement security and data privacy measures to protect sensitive information.
• Stay updated with new technologies and industry best practices in data engineering.
• Troubleshoot and resolve data-related issues and incidents in a timely manner.
• Collaborate with cross-functional teams to deliver data-driven insights for decision-making.
• Develop automated processes to enable real-time data processing and analysis.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions such as Redshift, BigQuery, or Snowflake.
• Strong knowledge of ETL tools and data pipeline architectures.
• Familiarity with database management systems like SQL and NoSQL databases.
• Understanding of data modeling concepts and techniques for large-scale systems.
• Excellent problem-solving skills and ability to work in a collaborative environment.