Data Engineer
NielsenIQ
- Indiana, Pennsylvania, United States
- Indiana, Pennsylvania, United States
About
Creating data flows
Working on data versioning
Launching flows in orchestration tools
Improve CI/CD pipelines
Dependencies management (poetry)
Deploying scripts/models created by data scientists on Notebooks
Qualifications
3-5 years of experience
Proficiency with Python
Experience with distributed systems to manipulate big data (Dask, Spark)
Experience with ML datasets is a plus
Experience creating ETL pipelines
Experience working with GCP (Google Cloud Platform) on main data services (cloud storage, BigQuery, Cloud Build, GKE…)
Experience using orchestrators (Airflow, Dagster…)
Work environment (Linux, Jupyter, Python, Git, Docker, SQL, NoSQL…)
Significant experience with Pandas, SQL technologies and writing Dockerfiles
Professional level of English
Benefits
Flexible working environment
Volunteer time off
LinkedIn Learning
Employee‑Assistance‑Program (EAP)
Our commitment to Diversity, Equity, and Inclusion We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit https://nielseniq.com/global/en/news-center/diversity-inclusion
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.