Senior Software Engineer - Python with Snowflake

India | Sept. 24, 2026

Report as Closed

Company: NielsenIQ

Country: India

Type: Onsite

Employment: Full Time

Description:

Company Description

NielsenIQ (NIQ) is a leader in data-driven solutions, partnering with the world’s largest brands to deliver insights that drive strategic decisions. With a global presence and deep expertise in analytics and technology, we ensure that companies stay ahead in a constantly changing marketplace. Our mission extends beyond understanding consumer behaviour; it also includes refining and optimizing our internal systems that support the NIQ company operations worldwide. 

Job Description

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, you’ll 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. 

Additional Information

• 6–10 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 skills—optimizing 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. 

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