
Data Architect
5 days ago
Job Title: Data Architect - Python Expert
We are seeking a highly skilled Data Architect to lead the development of scalable, reliable data pipelines using Python/PySpark. The ideal candidate will design and implement robust data architectures, ensuring seamless data flow between systems.
Key Responsibilities:
- Design and build enterprise-grade data scraping services that are fault-tolerant and production-ready.
- Develop expertise in large volumes of structured and unstructured data, parsing, cleaning, and transforming as required.
- Implement robust data validation and monitoring processes to ensure accuracy, consistency, and availability.
- Automate repetitive data tasks and optimize data workflows for performance and scalability.
- Collaborate with cross-functional teams to integrate data from disparate sources and ensure smooth data flow between systems.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 2-4 years of experience in data engineering, web scraping, or data crawling.
- Proficiency in Python with web scraping tools and libraries (e.g., Beautiful Soup, Scrapy, or Selenium).
- Basic working knowledge of PySpark and data pipelines.
- Experience with cloud-based platforms (AWS, Google Cloud, Azure) and familiarity with cloud-native data tools like Apache Airflow and EMR.
- Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
- Familiarity with version control systems like Git.
About Us:
This role is an excellent opportunity to join our organization and contribute to the advancement of technology innovation. We offer a dynamic work environment, competitive compensation, and opportunities for professional growth.
How to Apply:
Please submit your resume and cover letter to apply for this exciting opportunity. We look forward to hearing from you
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