Data Research Engineer - Data Extraction - Remote

Overview

Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.

In Short

• Develop methods and processes for data quality assurance (QA).
• Define and implement data validation rules and automated data quality checks.
• Perform data profiling and analysis to identify anomalies.
• Assist in acquiring and integrating data from various sources.
• Develop and maintain scripts in Python for ETL processes.
• Stay updated with emerging technologies and industry trends.
• Explore third-party technologies for efficient data pipelines.
• Contribute to cross-functional teams in understanding data requirements.
• Prioritize tasks to ensure timely delivery.
• Collaborate with fellow team members as required.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong proficiency in Python programming.
• Proficiency in SQL and data querying is a plus.
• Knowledge of Python modules such as Pandas, SQLAlchemy, and BeautifulSoup.
• Knowledge of web crawling techniques and API integration.
• Familiarity with machine learning concepts.
• Strong problem-solving and analytical skills.
• Good communication skills.
• Experience with version control systems like Git.
• Ability to work independently and in a team environment.

Benefits

• Day off on the 3rd Friday of every month.
• Monthly Wellness Reimbursement Program.
• Monthly Office Commutation Reimbursement Program.
• Paid paternity and maternity leaves.
• Group Medical Insurance.
• Group Term Life Insurance (2.5X of the CTC).
• Group Personal Accident Insurance (3X of the CTC).