- key responsibilities:
1. collect and process data from various sources: as a data engineer, you will be responsible for gathering data from different platforms and organizing it in a structured manner.
2. design and build data pipelines: you will create and maintain data pipelines to transfer and transform data efficiently.
3. implement data quality and security measures: ensuring the accuracy and security of the data is crucial in this role to prevent any issues in the long run.
4. collaborate with data scientists and analysts: working closely with team members to understand their data needs and provide solutions accordingly.
5. troubleshoot data-related issues: identifying and resolving any data-related problems that may arise during the data processing and analysis.
- required skills and expectations:
1. basic understanding of data collection and processing: knowledge of how to collect, clean, and organize data effectively.
2. problem-solving skills: ability to troubleshoot and resolve issues related to data processing.
3. strong communication skills: being able to work well with cross-functional teams and communicate effectively.
4. familiarity with data management tools: experience with tools like sql, python, or other programming languages used for data engineering.
5. detail-oriented: paying attention to small details is essential in ensuring data accuracy and quality.