Data Engineer
ExternalFull-timeOn-site1d ago
AirflowCI/CDComplianceData ModelingdbtETL
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Responsibilities
- Help establish Data Engineering best practices with Label Insight domain
- Design, develop, and implement end-to-end ETL and ELT pipelines
- Create and improve complex queries and data transformation operations
- Collaborate with stakeholders to design, develop and implement data extraction and reporting solutions (define requirements, refine, etc.) that best match their needs.
- Supporting business functions to maximize the value of their data assets through visualizations and reporting tools such as Looker and Power BI.
- #LI-Hybrid #LI-SG5
- We're looking for people who have:
- Experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments
- Strong programming (esp. Python) and SQL skills
- Knowledge of engineering best practices: CI/CD, testing, version control, infrastructure as code
- Strong data modeling skills
- Understanding of both relational and graph databases
- Familiarity with building for agentic data flows
- Experience with various analytical data platforms and technologies
- Experience with Looker, Power BI, or other data visualization platforms
- Experience in custom or structured data integration design, implementation, and maintenance
- Degree in Computer Science, Engineering (or equivalent combination of skills and experience)
- 3+ years working within a data engineering/reporting environment
Benefits
Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQFor more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionFlexible scheduleEquity / stock options
Additional Information
As a Data Engineer, you'll be part of a team of smart, highly skilled technologists who are passionate about supporting and progressing leading edge solutions to meet our business requirements.
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Company Intel
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