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Junior Data Engineer

  • Assists in the development and maintenance of data pipelines, ETL processes, and data integrations to support business operations and analytics needs.
  • Supports the maintenance of data storage solutions including data warehouses and data lakes, ensuring data is accessible, accurate, and reliable.
  • Contributes to data governance efforts by helping enforce data quality standards, security protocols, and compliance with regulatory requirements.
  • Performs data mapping, maintains data dictionaries, and assists in profiling data to ensure accuracy and consistency across systems.
  • Collaborates with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.
  • Assists in monitoring and troubleshooting the performance of data systems and databases, identifying and escalating issues as needed.
  • Supports data integration processes to facilitate the seamless flow of information between different systems and platforms.
  • Participates in the design and documentation of data models, schemas, and integration interfaces under the direction of senior engineers.
  • Learns and applies emerging best practices in data management, engineering, and tooling to continuously improve data solutions.
  • Communicates progress, findings, and technical concepts clearly to both technical and non-technical team members.
  • Bachelor's degree required; Computer Science, Information Technology, Engineering, or a related discipline preferred. Commensurate work experience will be considered.
  • 0–2 years of experience in Data Engineering or a related field; internship or project-based experience welcome.
  • Experience with Databricks is a plus.