Description

You will design and maintain cloud data platforms, data warehousing solutions, and ETL/ELT pipelines using modern data engineering technologies.

This role is on-site.

Responsibilities

• Build and optimize data pipelines using Azure, Databricks, and Snowflake.
• Implement CI/CD-driven data solutions and manage DevOps tools.
• Develop and integrate APIs, including GraphQL services.
• Orchestrate infrastructure as code using Terraform.
• Leverage Kafka and Azure Functions for real-time data streaming and serverless compute.

Required Skills

• SQL (Expert Level, 6–8 years).
• Databricks (Expert Level, 6–8 years).
• Microsoft Azure Cloud Services (Expert Level, 6–8 years).
• Snowflake (5+ years).
• CI/CD Pipelines & DevOps Tools (5+ years).
• GraphQL (2–3 years).
• API Development & Integration (2–4 years).
• Terraform (2–3 years).
• Kafka (2–3 years).

Preferred Skills

• Azure Functions (2–3 years).
• Gen AI / AI Exposure.

Key Skills

Education

Any Graduate