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Lead Data Engineer

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Onsite

Lead Data Engineer

Aionos

Lead Data Engineer

Skills

SQL QueriesData EngineeringPythonSnowflakeDatabricksData AnalysisMachine LearningAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


Roles and Responsibilities

  • Design and optimize scalable data pipelines using Snowflake and Azure Data Factory.

  • Build and maintain data warehouses in Snowflake for high-performance analytics.

  • Implement ETL/ELT workflows with Snowflake Snowpipe, Azure Databricks, and SQL.

  • Ensure data governance and security using Snowflake RBAC and Azure policies.

  • Monitor and optimize query performance and costs in Snowflake and Azure. Qualifications:

  • 15+ years in data engineering with Snowflake and Azure (Data Factory, Databricks).

  • Expertise in SQL, Python, and Snowflake features (Snowpipe, Streams).

  • Experience with data modeling, partitioning, and clustering in Snowflake.

  • Strong problem-solving and collaboration skills. Preferred: • Knowledge of Snowflake Cortex and Databricks Genie for ML integration.

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