Data Research Engineer

Job Title

Location -

Experience-

Job Responsibilities:

• Develop methods and processes for data quality assurance (QA) to ensure accuracy, completeness, and integrity.
• Define and implement data validation rules and automated data quality checks.
• Perform data profiling and analysis to identify anomalies, outliers, and inconsistencies
• Assist in acquiring and integrating data from various sources, including web crawling and API integration.
• Develop and maintain scripts in Python for data extraction, transformation, and loading (ETL) processes.
• Stay updated with emerging technologies and industry trends.
• Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines
• Contribute to cross-functional teams in understanding data requirements
• Assume accountability for achieving development milestones
• Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities.
• Collaborate with and assist fellow members of the Data Research Engineering Team as required.
• Leverage online resources effectively like Stack Overflow, ChatGPT, Bard, etc., while considering their capabilities and limitations.

Skills and Experience:

• Bachelor's degree in Computer Science, Data Science, or a related field
• Strong proficiency in Python programming for data extraction, transformation, and loading
• Proficiency in SQL and data querying is a plus
• Knowledge of Python modules such as Pandas, SQLAlchemy, gspread, PyDrive, Beautiful Soup and Selenium, sklearn, Plotly
• Knowledge of web crawling techniques and API integration
• Knowledge of data quality assurance methodologies and techniques
• Familiarity with machine learning concepts and techniques
• Familiarity with HTML, CSS, JavaScript
• Familiarity with Agile development methodologies is a plus
• Strong problem-solving and analytical skills with attention to detail
• Creative and critical thinking
• Ability to work collaboratively in a team environment
• Good and effective communication skills
• Experience with version control systems, such as Git, for collaborative development
• Ability to thrive in a fast-paced environment with rapidly changing priorities
• Comfortable with autonomy and ability to work independently