Data Engineering Expert for AI Infrastructure

hace 21 horas


Barcelona, Barcelona, España Dow Jones & Company, Inc. A tiempo completo

Dow Jones & Company, Inc. is seeking an experienced Data Engineer to join our AI Engineering Team in a global role spanning Barcelona, New York, New Jersey, and London. This key position involves designing, developing, and maintaining robust data pipelines for data scraping, processing, extraction, transformation, loading, and storage. You will collaborate with our team to ensure efficient and reliable data retrieval, enabling seamless integration with downstream systems for analysis and decision-making.

Key responsibilities include collaborating with data scientists and ML engineers to design, develop, and maintain end-to-end data pipelines for extraction, transformation, loading (ETL), and storage; cleaning, transforming, and structuring data using industry-standard techniques to ensure quality and consistency; working with APIs to retrieve data from external sources or integrate with third-party services while adhering to best practices; managing and optimizing SQL and NoSQL database systems for data storage, ensuring integrity and performance; automating data fetching, processing, and storage by implementing data pipelines, leveraging ETL principles; identifying and troubleshooting issues related to data quality and pipeline performance, applying problem-solving skills; communicating effectively with stakeholders and data providers to gather requirements and ensure project alignment; staying updated with industry trends, emerging technologies, and best practices in data engineering and ETL processes.

This role requires a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field, as well as at least 3 years of industrial experience in a data engineering role. The ideal candidate should have experience with web scraping techniques and data extraction methods, solid understanding of data processing techniques including extraction, transformation, and loading (ETL), ability to work with APIs to retrieve data from external sources or integrate with third-party services, experience with cloud-based infrastructure and services (e.g., AWS, GCP, etc.), familiarity with database systems including SQL and NoSQL databases, familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.), experience in designing and implementing end-to-end data pipelines for web content retrieval and processing, excellent problem-solving skills, and attention to detail in identifying and troubleshooting issues, strong communication and collaboration skills to work effectively with team members and stakeholders.

The estimated salary for this role ranges between $140,000 and $200,000 per year, depending on location and experience. Benefits include comprehensive health insurance, retirement savings plan, paid time off, and opportunities for professional growth and development.



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