Описание

Senior data engineer building Python/SQL ELT pipelines on Snowflake and Azure for NielsenIQ's validation platform in Chennai.

Work on the new validation platform for clients relying on data and insights
Be part of a team passionate about learning and supporting cutting-edge technologies such as Snowflake Tasks, Streams, Pipes (Snowpipe), External Tables, and Azure components: Blob Storage, ADLS, Functions, ADF, Purview
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
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

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

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Senior Software Engineer - Python with Snowflake