Data Engineer

Overview

Data Engineer role focused on building scalable, governed, and AI-ready data products and pipelines on Snowflake and Azure.

What you'll do

• Build and manage scalable, governed, and AI-ready data products on Snowflake and Azure.
• Design, build, and maintain data products and pipelines on Snowflake and Azure.
• Develop trusted, AI-ready datasets using semantic enrichment, metadata management, and data quality frameworks.
• Collaborate with business, analytics, and AI teams to translate requirements into reusable data solutions.
• Optimize Snowflake performance, security, and cost efficiency for enterprise-scale workloads.
• Enable analytics and AI use cases through well-governed, discoverable, reusable data assets.

What you'll need

• 5+ years of Data Engineering experience.
• Strong expertise in Snowflake Data Cloud.
• Advanced SQL and data modeling skills.
• Experience with Azure Data Factory, Azure Data Lake, Azure Functions, and related Azure services.
• Hands-on experience with dbt or modern ELT frameworks.
• Strong knowledge of data warehousing and dimensional modeling concepts.
• Experience building enterprise-scale data pipelines.

Details

• Location: Bengaluru, Karnataka, India.