Senior Software Engineer Python with Snowflake

Our Technology teams are working on our new validation platform. Our clients around the world rely on data and insights to innovate and grow. 

As a Senior Engineer youll be part of a team of smart highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Snowflake Tasks Streams Pipes (Snowpipe) External Tables components:Azure: Blob Storage ADLS Functions ADF Purview 

Roles and Responsibilities 

Data Engineering & Pipelines 

• Design develop and optimize scalable ELT/ETL pipelines using Python and SQL. 

• Build real-time near-real-time and batch frameworks using cloud-native services. 

• Implement incremental loads CDC SCD schema evolution and orchestration best practices. 

Snowflake Engineering 

• Architect and manage Snowflake environments: warehouses databases schemas resource monitors RBAC zero-copy clones clusters micro partition. 

• Implement Snowflake Tasks Streams Pipes (Snowpipe) External Tables for event-driven data workflows. 

• Optimize compute cost and query performance using clustering micro-partitioning caching and warehouse sizing. 

Cloud Engineering - Azure

• Build and maintain solutions using cloud-native compute/storage components: 

• Azure: Blob Storage ADLS Functions ADF Purview 

Data Warehousing & Modeling 

• Design enterprise-grade Data Warehouses Data Marts and Semantic Layers. 

• Implement Kimball Data Vault and modern ELT-first design patterns. 

• Work closely with BI/ML teams to operationalize features and analytics models. 

AI engineering 

• Design develop and deploy AI and Generative AI solutions aligned with business requirements. 

DevSecOps & Platform Engineering 

• Implement CI/CD pipelines for data engineering code (GitHub Actions / Azure DevOps / GitLab CI). 

• Enforce DevSecOps practices: 

• secret scanning 

• IaC security gates 

• dependency scanning 

• policy-as-code (OPA/Conftest) 

• Build infrastructure using Terraform / Azure Bicep / CloudFormation. 

Automated Testing & Data Quality 

• Implement data unit testing schema validation and contract enforcement: 

• pytest 

• Great Expectations/dbt tests 

• automated data profiling 

• Build automated quality dashboards lineage and SLA monitoring. 

Leadership & Collaboration 

• Lead design reviews code reviews and data platform roadmap discussions. 

• Mentor junior engineers and enforce engineering excellence. 

• Partner with Product Data Science and Business teams to deliver data-driven solutions. 

Qualifications :

• 610 years of professional experience in Data Engineering. 

• Strong expertise in Python (pandas asyncio OOP typing packaging pytest). 

• Hands-on experience with Snowflake at enterprise scale. 

• Advanced SQL skillsoptimizing complex joins window functions CTEs and performance tuning. 

• Strong cloud background: AWS Azure or GCP. 

• Deep understanding of data warehousing concepts: dimensional modeling star schemas data marts CDC/SCD modeling for high-volume pipelines 

• CI/CD experience with GitHub Actions/Azure DevOps/GitLab CI. 

• Experience with IaC tools like Terraform/Bicep. 

• Strong understanding of DevSecOps practices: secrets management IAM design vulnerability scanning zero trust principles 

• Experience with orchestration tools (Airflow/ADF/Prefect/Step Functions). 

• Excellent communication and stakeholder management skills. 

• Experience with dbt (models tests exposures). 

• Streaming platform experience (Kafka Kinesis Pub/Sub). 

• Experience implementing OpenLineage Marquez or other lineage tools. 

• Familiarity with Lakehouse architectures (Delta Lake Iceberg Hudi). 

• Understanding of MLOps concepts and feature stores. 

• Knowledge of cost governance and FinOps best practices. 

• Prior leadership/mentorship experience. 

Additional Information :

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn 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 NIQs 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 were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 state-of-the-art 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.

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Our commitment to Diversity Equity and Inclusion

At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the  Work :

No

Employment Type :

Full-time