Data Engineer with Genai

Job Summary:
Seeking a Data Engineer with 6 to 8 years of experience to independently design, develop, optimize, and support scalable batch and real-time data pipelines. The ideal candidate will have strong hands-on expertise in Azure, Databricks, Snowflake, Kafka, APIs/GraphQL, Azure Functions, CI/CD pipelines, and Terraform-based infrastructure provisioning. The role also involves leveraging AI and Generative AI capabilities, mentoring junior engineers, and delivering robust, high-quality enterprise data solutions.

Key Responsibilities:
6–8 years of experience who can independently design, build, optimize, and support batch and streaming data pipelines.
The role requires solid hands-on experience with Azure, Databricks, Snowflake, Kafka, APIs/GraphQL, and Azure Functions. , managing CI/CD pipelines, and infrastructure provisioning using Terraform.
The role also involves using AI and Generative AI capabilities in data platforms, mentoring junior engineers, and delivering scalable and high-quality enterprise solutions.

Skill Requirements:
Azure, Databricks, Snowflake, Kafka, APIs/GraphQL, Azure Functions, CI/CD pipelines, Terraform, AI, Gen AI

📌 Data Engineer with Gen Ai (Hyderabad)
🏢 Tek Grove
📍 Hyderabad