The Data Engineer will be responsible for designing, building, and maintaining data pipelines that ensure data integrity, accessibility, and security. This role involves collaborating with data scientists and analysts to understand data requirements and developing optimal ETL processes. Additionally, the Data Engineer will monitor system performance, troubleshoot issues, and enhance existing solutions to support data-driven decision-making across the organization.
Candidates should have a solid background in data engineering with 4 to 7 years of experience in the field, demonstrating proficiency in programming languages such as Python or Java, as well as experience with SQL databases. Familiarity with big data technologies, such as Hadoop or Spark, is essential. Additionally, candidates must possess strong analytical skills, the ability to work in collaborative environments and effectively communicate technical concepts to non-technical stakeholders.