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Job Description & How to Apply Below
The ideal candidate will have experience with Snowflake, Databricks, Data Clean Rooms, data matching, and handling of Personally Identifiable Information (PII). They will work with clients and partners to develop and deploy matching, enrichment, and activation solutions. You will serve as a technical liaison between clients and internal teams, translating business needs into scalable engineering solutions.
Responsibilities:
Work with Product owners, clients, and our development team to clarify, analyze, and assess requirements.
Build data matching, enrichment, and activation solutions on top of the Consumer Canvas identity spine, PII data, and infrastructure.
Serve as a technical liaison between clients and internal teams, translating business needs into scalable engineering solutions.
Provide onboarding support and technical guidance to ensure successful deployment and adoption.
Work closely with Product owners and the development team to identify scalable and repeatable solutions to enhance efficiency.
Work independently and collaboratively in an Agile development environment.
Qualifications 5+ years in Big Data solutions engineering or related roles preferred. Experience in advanced advertising or market research applications is very valuable.
Data Platforms & Tools:
Hands-on experience with Snowflake data processing environments, especially Snowflake Data Clean Rooms.
Hands-on experience with Databricks data processing environments.
Familiarity with data engineering Medallion Architecture (Bronze/Silver/Gold).
Experience with Big Data technologies and patterns.
Programming & Modeling:
Strong SQL experience.
Data modeling and data design.
Hands-on experience with Python, Jupyter Notebooks, and Python environment controllers (Poetry, Pip Env).
Governance & Security:
Experience handling PII data and working in clean rooms.
Dev Ops & CI/CD:
Hands-on experience with any of these code versioning tools (Git Hub, Azure Dev Ops, Bitbucket, etc.).
Communication &
Collaboration:
Strong written and verbal communication skills.
Ability to translate technical concepts for non-technical stakeholders.
Experience working with cross-functional teams including product, engineering, and client services.
Self-motivated with the ability to work well in a team.
Problem-solving and strategic thinking skills.
Adaptability in fast-paced environments.
Additional Valuable
Skills:
Experience with Azure Cloud Services and Azure Data Factory.
Experience with data activation platforms (e.g., Live Ramp, The Trade Desk).
Familiarity with identity resolution or customer data platforms (CDPs).
Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
Recharge and revitalize with help of wellness plans made for you and your family.
Plan your future with financial wellness tools.
Stay relevant and upskill yourself with career development opportunities.
Our Benefits
Flexible working environment
Volunteer time off
Linked In Learning
Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion.
Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review…
Position Requirements
10+ Years
work experience
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