Data Engineer

Develop a deep understanding of the business domain, key initiatives, and quality criteria.
Lead the acquisition and curation of multiple unstructured data feeds.
Experience in data extraction, transformation, and analysis from platforms such as Google
Analytics 4, YouTube, and LinkedIn.
Proficient in SQL, Python, and other programming languages for data manipulation and
analysis.
Utilize Python libraries and APIs (internal and external) for diverse use cases, such as
parsing PDFs and extracting data from charts and images.
Analyze raw data to understand its content and structure and devise effective extraction
methodologies.
Write production-quality code to transform and curate accurate datasets for semantic and
keyword searches.
Define and implement data quality checks to proactively detect and address issues before
impacting production data.
Create and maintain documentation for end-to-end data flows.
Collaborate with the AI platform team to enhance existing functionalities and features.
Analyze business tasks to identify relevant datasets and support data-driven decisionmaking.
Develop dashboards, reports, and data visualizations to effectively communicate findings
to stakeholders.
Work with data vendors to clarify requirements and resolve issues.
Ensure compliance with data privacy laws and best practices in handling user data.
Provide support for other data projects as needed