- Sizanid-Staffing
- Philippines,
- 4 weeks ago
Job Description
Position: Web Data Engineer (Data Collection & Automation)
About Our Client:
Our client is a renowned tech company focused on leveraging data to drive insights and decision-making across various industries. They are seeking a skilled Web Data Engineer to develop and automate data collection processes that support their data analytics initiatives. This role is crucial for ensuring that accurate, high-quality data is readily available for analysis.
Key Responsibilities:
- Design, develop, and maintain scalable data collection architectures and workflows.
- Automate data extraction processes from various web sources, APIs, and data feeds.
- Implement web scraping strategies while ensuring compliance with legal and ethical standards.
- Collaborate with data analysts and data scientists to understand data requirements and ensure that the data collected meets their needs.
- Perform data cleansing, transformation, and validation to ensure data integrity and accuracy.
- Monitor and troubleshoot data pipelines, addressing any issues or discrepancies in a timely manner.
- Document processes, workflows, and data sources for visibility and reproducibility.
- Stay updated on industry trends in data collection techniques, tools, and technologies.
- Participate in code reviews and contribute to continuous improvement in data engineering practices.
Requirements
Qualifications & Skills:
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Proven experience as a Data Engineer, Data Scientist, or in a similar role focused on data collection and automation.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with web scraping tools and technologies such as Beautiful Soup, Scrapy, Selenium, or similar frameworks.
- Proficiency in SQL and experience with databases like MySQL, PostgreSQL, or NoSQL solutions.
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and data processing tools (Apache Spark, Apache Airflow, etc.).
- Understanding of data governance, data quality, and data management principles.
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Strong communication skills to collaborate effectively with technical and non-technical teams.
Preferred Qualifications:
- Experience with ETL processes and data integration tools.
- Knowledge of data visualization tools (Tableau, Power BI, etc.) is a plus.
- Familiarity with version control systems such as Git.
- Experience working in Agile development environments.
Benefits
Full Time, Freelance and Contract roles available
