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Senior Software Engineer - Python with Snowflake

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Onsite

Senior Software Engineer - Python with Snowflake

NielsenIQ

Senior Software Engineer - Python with Snowflake

Skills

SQL QueriesData EngineeringPythonDevOpspandasKafkaSnowflakeGitLabGitHubApache AirflowTerraformAzure

7 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


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

Qualifications

  • 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.
  • Experience with orchestration tools (Airflow/ADF/Prefect/Step Functions).
  • Advanced SQL skills—optimizing complex joins, window functions, CTEs, and performance tuning.
  • Strong cloud background: Azure
  • 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
  • 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.

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