Alternative Path

Job Description:

Leading and mentoring a team of seasoned Data engineers performing Web Scraping using various scraping techniques and then utilizing Python's Pandas library for data cleaning and manipulation. Then ingesting the data into a Database/Warehouse, and scheduling the scrapers using Airflow or other tools

 Technical Leadership

1. Oversee the design and implementation of web scraping projects to ensure scalability, efficiency, and accuracy.

2. Stay updated with and implement the latest technologies, tools, and frameworks in web scraping and data processing.

3. Review and approve pull requests to ensure clean, maintainable, and efficient code.

4. Identify and solve complex technical challenges in data extraction, handling, and storage.

5. Design and implement monitoring tools and dashboards to ensure system reliability and performance.

6. Experience in the Data Engineering or Web Scraping industry, with a strong background in data processing and automation.

7. Experience in leading teams, mentoring engineers, and driving technical initiatives

 Team Management (Techno-Managerial Role)

1. Lead, mentor, and inspire a team of engineers to achieve project goals and professional growth.

2. Conduct regular one-on-ones to provide feedback, set objectives, and discuss career development.

3. Monitor team productivity and allocate resources effectively to meet deadlines.

4. Foster a collaborative and high-performing team culture that promotes innovation and ownership.

5. Serve in a techno-managerial role, balancing technical expertise with leadership responsibilities to drive both project execution and team development.

6. Collaborate with stakeholders to understand project requirements and translate them into actionable plans.

7. Develop long-term strategies for web scraping solutions, including data storage, compliance, and scalability.

8. Drive continuous improvements in process, tools, and methodologies for the team.

9. Align team efforts with business goals and identify opportunities for automation and process optimization.

10. Ensure high-quality deliverables by enforcing best practices in coding, testing, and documentation.

11. Optimize the data pipeline to handle large-scale data ingestion and cleaning.

12. Implement safeguards for compliance with web scraping regulations and ethical practices.

13. Ensure the team adopts the best practices for handling sensitive and proprietary data.

Strategic Planning and Execution

1. Collaborate with stakeholders to understand project requirements and translate them into actionable plans.

2. Develop long-term strategies for web scraping solutions, including data storage, compliance, and scalability.

3. Drive continuous improvements in process, tools, and methodologies for the team.

4. Align team efforts with business goals and identify opportunities for automation and process optimization.

 Operational Excellence

1. Ensure high-quality deliverables by enforcing best practices in coding, testing, and documentation.

2. Optimize the data pipeline to handle large-scale data ingestion and cleaning.

3. Implement safeguards for compliance with web scraping regulations and ethical practices.

4. Ensure the team adopts the best practices for handling sensitive and proprietary data.

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