Senior Data Engineer for AI Engineering Team
hace 3 semanas
Dow Jones is seeking an experienced Data Engineer to join our AI Engineering Team. The ideal candidate will have a strong background in 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 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.
You Have:
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.
Preferably in Airflow or GCP Cloud Composer.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.
Benefits:
Paid Time OffFamily Care BenefitsAccess to Dow Jones ProductsSubscription DiscountsEmployee Referral ProgramEmployee Well-being Support & Fitness ProgramsReasonable accommodation: Dow Jones is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Business Area:
Dow Jones - Technology
Job Category:
Data Analytics/Warehousing & Business Intelligence
Union Status:
Non-Union role
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