Description

Job Summary:

We are looking for a dynamic and experienced Data Engineer with a strong foundation in SQL and hands-on expertise in Teradata, Snowflake, and Databricks, operating within Azure cloud environments. The ideal candidate will also have exposure to AI/ML technologies and be capable of integrating intelligent solutions into modern data platforms. This role is critical in building scalable data solutions that support advanced analytics and AI-driven insights.

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Key Responsibilities:

• Develop and optimize complex SQL queries across Teradata, Snowflake, and Databricks platforms.

• Design and implement scalable data pipelines and ETL processes in Azure.

• Collaborate with AI/ML teams to integrate models into data workflows and production environments.

• Ensure data quality, governance, and security across cloud and hybrid data platforms.

• Monitor and troubleshoot performance issues in data systems and pipelines.

• Automate data ingestion, transformation, and delivery using Azure Data Factory, Databricks notebooks, and other tools.

• Document data architecture, processes, and best practices.

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Required Skills & Qualifications:

• 5+ years of experience in data engineering or analytics roles.

• Strong SQL skills with experience in Teradata, Snowflake, and Databrick

Key Skills

Education

Any Graduate