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Data Extraction Engineer Job Opening In Hyderabad – Now Hiring BrightEdge


Job description

Software Engineer - Content Parsing


The Opportunity


We're looking for a talented and detail-oriented Software Engineer - Content Parsing to join our dynamic team.

In this role, you'll be crucial in extracting, categorizing, and structuring vast amounts of content from various web sources.

You'll leverage your expertise in Python and related parsing technologies to build robust, scalable, and highly accurate parsing solutions.

This position requires a strong focus on data quality, comprehensive testing, and the ability to implement effective alerting and notification systems.


Responsibilities :

  • Design, develop, and maintain robust and scalable HTML parsing solutions to extract diverse web content.

  • Implement advanced content categorization logic to accurately classify and tag extracted data based on predefined schemas and business rules, incorporating AI/ML techniques where applicable.

  • Develop and integrate alerting and notification systems to monitor parsing performance, identify anomalies, and report on data quality issues.

  • Write comprehensive unit, integration, and end-to-end test cases to ensure the accuracy, reliability, and robustness of parsing logic, covering all boundary conditions and edge cases.
  • Optimize parsing performance and efficiency to handle large volumes of data.

  • Troubleshoot and resolve parsing issues, adapting to changes in website structures and content formats.

  • Contribute to the continuous improvement of our parsing infrastructure and methodologies, including the research and adoption of new AI-driven parsing techniques.
  • Manage and deploy parsing solutions in a Linux environment.
  • Collaborate with DevOps engineers to improve the scaling, deployment, and operational efficiency of parsing solutions.

  • This role requires occasional weekend work as content changes are typically deployed on weekends, necessitating monitoring and immediate adjustments.


Qualifications :

  • Bachelor's degree in Computer Science or a closely related technical field is required.

  • Experience in software development with a strong focus on data extraction and parsing.

  • Proficiency in Python and its ecosystem, particularly with libraries for web scraping and parsing (e.G., Beautiful Soup, lxml, Scrapy, Playwright, Selenium).

  • Demonstrated experience in building or parsing complex and unstructured HTML content into structured data formats.

  • Understanding and practical experience with content categorization techniques (e.G., keyword extraction, rule-based classification, basic NLP concepts).

  • Proven ability to design and implement effective alerting and notification systems (e.G., integrating with Slack, PagerDuty, email, custom dashboards).

  • Attention to details with unit testing skills, with a meticulous approach to covering all boundary conditions, error cases, and edge scenarios.

  • Experience working in a Linux environment, including shell scripting and command-line tools.

    Familiarity with data storage solutions (e.G., SQL databases) and data serialization formats (e.G., JSON, XML.

  • Experience with version control systems (e.G., Git).

    Excellent problem-solving skills.

  • Strong communication and collaboration abilities.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Extraction Potential: Insight & Career Growth Guide


Real-time Data Extraction Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Extraction in Hyderabad, India, highlighting market share and opportunities for professionals in Data Extraction roles.

150235 Jobs in India
150235
6530 Jobs in Hyderabad
6530
Download Data Extraction Jobs Trends in Hyderabad and India

Are You Looking for Data Extraction Engineer Job?

Great news! is currently hiring and seeking a Data Extraction Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at BrightEdge adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Extraction Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Extraction Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Extraction Engineer Job Success

BrightEdge interview tips for Data Extraction Engineer

Here are some tips to help you prepare for and ace your Data Extraction Engineer job interview:

Before the Interview:

Research: Learn about the BrightEdge's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Data Extraction Engineer interview at BrightEdge, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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