NielsenIQ
Market Research
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at NielsenIQ. Skills: Data engineering, ETL, Python. Create data flows. Work on data versioning”
Industry & Context.
What They're Looking For.
Must Have
3-5 years of experience, Proficiency with Python, Experience creating ETL pipelines, Professional level of English
Nice to Have
Experience with ML datasets is a plus
What You'll Do.
Work on data versioning
Launch flows in orchestration tools
Improve CI/CD pipelines
Deploy scripts/models created by data scientists
Full Job Description
#LI-hybrid The very rapid development of e-commerce today gives access to thousands of information. These data are difficult to exploit by companies, which then have difficulty choosing the right levers of action and measuring their impact. This is where NIQ for Digital Commerce comes in! Every day, we collect more than 60 billion pieces of information, process them and use them in innovative monitoring and action tools for professionals in the sector. Our goal: to give our customers and consumers real-time visibility into the market. Today : NIQ for Digital Commerce is a leading start-up in the ‘Retail Analytics’ sector. In full growth, particularly internationally, we are looking for new collaborators to join our fabulous team! A young but experienced, dynamic and complementary team: a resolutely start-up spirit! Real job and career opportunities A friendly atmosphere and a climate of trust that promotes autonomy and challenge! We’re looking for an experienced Data Engineer to join our growing Machine Learning team.Your work will entail the following : * 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 ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assi
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