Data Engineer - Intermediate

Description

Job Summary: As a Data Engineer, you will be responsible for continuously analyzing data sources, designing and implementing the data lifecycle—from the moment data arrives at the company until its final use. Key Responsibilities: 1. Business requirement analysis and data design. 2. ETL process implementation and optimization. 3. Knowledge of data modeling and statistics. As a *Data Engineer*, you will be responsible for continuously analyzing data sources, designing and implementing the data lifecycle—from the moment data arrives at the company until its final use by various internal and external customers. In addition, you must possess knowledge related to data modeling and data management technologies, statistical domain knowledge, and foundational modeling knowledge required to deploy analytical models and attributes into production. ### **What will you do?** * Business requirement analysis. * Data and solution design. * ETL process implementation and optimization. ### **What experience do you need?** * At least 2 years of experience with an ETL tool, such as: SSIS \- Pentaho \- Data Factory or others; and/or * At least 2 years of experience developing ETL processes using one of the following programming languages: Java \- Scala \- Python. * At least 2 years of experience with database engines. **What could set you apart?** * At least 1 year of cloud experience (desirable but not mandatory). * At least 1 year of experience using CI/CD tools at the user level—not development (e.g., GoCD, Jenkins, Azure DevOps, or others). * Intermediate English