Publié hier
Data Engineering Specialist
@ QNDL Quandl, Inc.
Toronto, Ontario
Responsabilités :
- Design, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation.
- Build and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data.
- Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability.
- Write and manage distributed data pipelines supporting both real-time and batch processing across cloud environments.
- Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.
Résumé des exigences :
- Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 5-7 years of professional experience in software or data engineering.
- Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
- Hands-on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration.
- Strong written and verbal communication skills in English, with the ability to document clearly and concisely.
Source et dates
Site carrière / système de candidatures · workday
- Date publiée par l’employeur
- 2026-11-09
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
QNDL Quandl, Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Job Description
As a Data Engineering Specialist reporting to the Senior Director of Data Engineering, you'll play a critical role in designing, building, and scaling the data infrastructure that powers one of the world's largest data marketplaces — serving hundreds of thousands of professionals across finance, technology, and beyond.
You'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact environment.
Key Responsibilities
- Design, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation.
- Build and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data.
- Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability.
- Write and manage distributed data pipelines supporting both real-time and batch processing across cloud environments.
- Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 5-7 years of professional experience in software or data engineering.
- Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark.
- Hands-on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration.
- Strong written and verbal communication skills in English, with the ability to document clearly and concisely.
Preferred Qualifications
- Experience building and integrating AI tools into data engineering workflows.
- Data engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional).
- Prior experience in fintech, capital markets, or a regulated data environment.
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
What We Offer
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
The base pay range for this role is $84,000 - $115,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.Journal
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