Data Architect for AI Engineering
hace 3 días
**Company Overview:**
Dow Jones is a global leader in news and business information, delivering content to consumers and organizations worldwide. With over 130 years of history, Dow Jones has established itself as a trusted source of high-quality content across various formats.
**The Role:**
We are seeking an experienced Data Engineer to join our AI Engineering Team. As a key member of the team, you will be responsible for designing, developing, and maintaining robust data pipelines for data scraping, processing, extraction, transformation, loading, and storage.
**Key Responsibilities:**
+ Collaborate with data scientists and ML engineers to design, develop, and maintain end-to-end data pipelines for extraction, transformation, loading (ETL), and storage.
+ Clean, transform, and structure data using industry-standard techniques, ensuring quality and consistency.
+ Work with APIs to retrieve data from external sources or integrate with third-party services, adhering to best practices.
+ Manage and optimize SQL and NoSQL database systems for data storage, ensuring integrity and performance.
+ Automate data fetching, processing, and storage by implementing data pipelines for ML/AI use cases, leveraging ETL principles.
+ Identify and troubleshoot issues related to data quality and pipeline performance, applying problem-solving skills
**Requirements:**
The ideal candidate will have experience in designing and developing data pipelines, working with APIs, and managing database systems. You should have strong problem-solving skills and be able to collaborate effectively with cross-functional teams.
**Salary:** $120,000 - $160,000 per year, depending on experience.
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