Data Engineer
Data Engineer
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Job Description
As a Data team we cover the three main specialties in the data field: Data Science Data Analytics and Data Engineering. While our current needs are well met in each field we are looking to strengthen our Data Engineering capabilities by adding a skilled Data Engineer to our team. We seek a person who brings practical experience and enthusiasm to help drive our data initiatives forward.
We are currently developing a robust data strategy inside Netquest. We are looking for a collaborative team player who enjoys working with others and interacting with various departments. This role involves understanding different stakeholders needs sharing decisions with the team and explaining data solutions clearly.
Key Accountabilities
The accountabilities of a data engineer include adhering to applicable standards and guidelines while solving complex problems. The data engineer is expected to work within their team scope and contribute to the harmonization and improvement of solutions across the organization.
The data engineer is also accountable for sharing knowledge with other engineers during pair programming/pair work when sought for advice during code reviews and by participating in Communities of Practice.
The data engineer is responsible for bringing together technical assets from different disciplines within their crossfunctional team and fostering a common solution approach among team members with diverse technical backgrounds.
Qualifications :
- Experience in designing and implementing data pipelines
- Ability to address problems with scaleup and scaleout approaches and combine them in data pipelines
- Understanding of Data Architecture principles
- Awareness of Data Governance practices
- Consideration of economic aspects related to the operability of data pipelines
- Maintenance of data integrity during reprocessing
- Understanding how customer data deliveries (internal or external) are affected by software changes
- Familiarity with data design patterns and best practices
- Knowledge of data modeling data schemas and their evolution
- Awareness of data transformation design patterns
- Focus on data integrity in crafting data pipelines including monitoring data health and state of intermediate data and alerting mechanisms
- Designing Quality Control/Validation processes / Quality Gates
Technologies and Standards
- Proficiency in Python and SQL
- Familiarity with scheduling tools like Apache Airflow
- Interest in Big Data solutions such as Apache Spark
- Understanding of Data Engineering techniques
- Ability to maintain and extend processes and functionalities
- Knowledge of application packaging and delivery mechanisms including CD/CI best practices and security concerns
- Ability to integrate partial solutions and RnD results into productionready data pipelines
- Experience in building and operating infrastructure (e.g. for testing purposes)
- Ability to support operational questions for production environments
- Understanding of cloud infrastructure and services for setting up and maintaining data pipelines (e.g. AWS)
- Advising on data transformation workflow designs and optimizations focusing on cost performance and delivery mechanisms (streams/increments/etc.)
Additional Information :
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- EmployeeAssistanceProgram (EAP)
About NIQ
NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through stateoftheart platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
For more information visit NIQ.com
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Our commitment to Diversity Equity and Inclusion
NIQ is committed to reflecting the diversity of the clients communities and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce measurement and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative ActionEmployer making decisions without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability status age marital status protected veteran status or any other protected class. Our global nondiscrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
