Data Engineer
NielsenIQ
Responsibilities 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 #J-18808-Ljbffr NielsenIQ
Vacancy posted 2 days ago
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