Data Engineer
2 days ago
As a Data Engineer, you will be responsible for building and maintaining robust data pipelines, ensuring efficient data integration, transformation, and delivery across systems. You will work closely with product and analyst teams to enable data accessibility, scalability, and quality for strategic analysis.
Key Responsibilities
- Design and implement ETL pipelines to process structured and unstructured data.
- Develop automation scripts for data scraping, cleansing, and loading into storage.
- Build and manage relational and non-relational databases, including writing SQL queries.
- Collaborate on data flow architecture and ensure data availability for analytics.
- Utilize Docker, Git, and Linux for deployment, versioning, and process automation.
- Monitor and debug data pipeline processes with proper logging and error handling.
- Integrate web data sources using HTTP protocols, asynchronous programming, and browser automation tools.
Requirements
- Strong understanding of database types (relational & non-relational) and ERD modeling.
- Proficient in SQL (SELECT, INSERT, UPDATE, DELETE) and integration into code.
- Experience with data scraping tools (BeautifulSoup, Selenium, Playwright) and Python libraries (requests, re, asyncio).
- Familiarity with message queue systems and asynchronous processing.
- Hands-on experience with Linux commands and Docker containerization.
- Knowledge of version control (Git) and basic unit testing in data pipelines.
- Comfortable with HTTP protocols and using CLI tools for debugging.
- Strong problem-solving skills and the ability to document clean, scalable code.
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