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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 strong 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
Job ID: 153467533