We are seeking a highly skilled and detail-oriented Data Engineer who specializes in API integration and data normalization. In this role, you will be responsible for collecting and cleaning data from multiple APIs, integrating the data into a central database, and normalizing the data to ensure consistency and accuracy.
Responsibilities:
- Research, identify, and integrate data from various APIs, ensuring data compatibility and consistency.
- Develop and maintain data collection processes and workflows, automating where possible.
- Clean and preprocess data to eliminate duplicates, inconsistencies, and inaccuracies.
- Design and implement a robust and scalable database architecture to consolidate the integrated data.
- Create data models and schemas to optimize the efficiency and usability of the database.
- Perform data normalization techniques to standardize data formats, values, and units.
- Collaborate with cross-functional teams, including data scientists and analysts, to understand data requirements and assist in data-driven projects.
- Stay updated with the latest technologies, tools, and methodologies in the field of data engineering and integration.
Requirements:
- Master's degree in Computer Science, Data Science, or a related field.
- Proven experience in API integration, data collection, and data preprocessing.
- Strong proficiency in programming languages such as Python or Java.
- Experience with various APIs and data integration techniques.
- Familiarity with database technologies (e.g., SQL, NoSQL) and data modeling.
- Understanding of data normalization principles and techniques.
- Excellent problem-solving and analytical skills.
- Strong attention to detail and the ability to work with large datasets.
- Good communication and collaboration skills to work effectively in a team-oriented environment.
- Proactive and self-motivated with a passion for data accuracy and quality.
- Ability to adapt to evolving technology landscapes and learn new tools quickly.
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