Senior Software Engineer - Python with Snowflake
NielsenIQ (company site, opens in a new tab)6–10 yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable ELT/ETL pipelines using Python, SQL, and Snowflake components including Tasks, Streams, Pipes, and External Tables.
- Architect and manage Snowflake environments while optimizing compute costs and query performance using clustering and micro-partitioning.
- Lead design and code reviews, mentor junior engineers, and collaborate with Product, Data Science, and Business teams to deliver data-driven solutions.
Minimum Requirements
- 6–10 years of professional experience in Data Engineering.
- Strong expertise in Python including pandas, asyncio, OOP, typing, packaging, pytest.
- Hands-on experience with Snowflake at enterprise scale and advanced SQL skills including query performance tuning.
- Experience with Cloud platforms (AWS, Azure, or GCP), CI/CD pipelines (GitHub Actions/Azure DevOps/GitLab CI), and Infrastructure-as-Code tools like Terraform or Azure Bicep.
Ideal Candidate Profile
- Proven ability to architect and optimize enterprise-scale Snowflake environments integrating with cloud-native compute/storage (especially Azure).
- Experience leading teams or mentoring in a senior technical role, driving engineering excellence and platform roadmap discussions.
- Strong background in modern data warehousing design patterns (Kimball, Data Vault) and implementation of DevSecOps practices in data engineering workflows.