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Data Engineer for AI Engineering Team
hace 2 meses
**About Our Organization**
Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Our team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers, and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video, and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints.
**About the Role**
We are seeking an experienced Data Engineer to join our AI Engineering Team. You will be responsible for designing, developing, and maintaining robust data pipelines for data scraping, processing, extraction, transformation, loading, and storage. You will collaborate with data scientists and ML engineers to ensure the efficient and reliable retrieval of data, enabling seamless integration with downstream systems for analysis and decision-making.
**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.
