NielsenIQ
Retail
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at NielsenIQ. Skills: Data Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
3-5 years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, Proficiency in SQL, Experience with Python or Java
Nice to Have
Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with ETL/ELT tools (Airflow, Fivetran), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with dbt
What You'll Do.
and maintain scalable data pipelines
Develop and optimize ETL/ELT processes
Build and manage data warehouses and data lakes
Develop and deploy machine learning models
Create and maintain BI dashboards and reports
Collaborate with data scientists and analysts
Ensure data quality and integrity
Monitor and troubleshoot data systems
Optimize data infrastructure for performance and cost
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Analysts; Product managers
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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