Senior Data Engineer

hace 3 semanas

Barcelona, Barcelona, España Dow Jones A tiempo completo
About the Role:

Dow Jones is seeking an experienced Data Engineer to join our AI Engineering Team. As a key team member, you will play a crucial role in operationalizing data solutions to meet our organization's needs and deliver tangible value.

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.
  • Communicate effectively with stakeholders and data providers to gather requirements and ensure project alignment.
  • Stay updated with industry trends, emerging technologies, and best practices in data engineering for Machine Learning.

Requirements:
  • At least 3 years of industrial experience in a data engineering role.
  • Experience with cloud-based infrastructure and services (AWS, GCP preferred).
  • Experience in designing and implementing end-to-end data pipelines for ML/AI use cases.
  • Ability to work with APIs to retrieve data from external sources or integrate with third-party services.
  • Familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).
  • Experience with working on Jenkins and/or Docker.
  • Familiarity with database systems, including SQL and NoSQL databases.
  • Bachelor's Degree or higher in Computer Science, Computer Engineering, Data Science or related STEM field preferred.
  • Strong communication and collaboration skills to work effectively with team members and stakeholders.
  • Continuous learning mindset with a willingness to stay updated with industry trends and best practices.

Our Benefits:
  • Comprehensive Insurance Plans
  • Paid Time Off
  • Family Care Benefits
  • Access to Dow Jones Products
  • Subscription Discounts
  • Employee Referral Program
  • Employee Well-being Support & Fitness Programs

Business Area:
Dow Jones - Technology

Job Category:
Data Analytics/Warehousing & Business Intelligence

Union Status:
Non-Union role

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