Senior Data Engineer

• *Hiring: Senior Data Engineer**

• *Experience:** 6–8 Years
• *Work Mode:** Hybrid – PAN India
• *Shift Timing:** 10:00 AM – 7:00 PM IST
• *Priority:** P1

• *Job Description**

We are looking for an experienced **Senior Data Engineer** with 6–8 years of experience in designing, developing, and supporting scalable batch and streaming data pipelines.

The ideal candidate should have strong hands\-on expertise in Databricks, Azure, Snowflake, SQL, Kafka, Terraform, and CI/CD, along with exposure to AI and GenAI integrations.

The candidate should be capable of independently handling data engineering solutions, contributing to solution design and implementation, and mentoring junior engineers.

• *Key Responsibilities**

• Design, develop, and optimize scalable batch and streaming data pipelines using Databricks, SQL, Snowflake, and Azure.
• Build and maintain data engineering solutions to support enterprise reporting, analytics, and AI workloads.
• Develop cloud\-native services using Azure Functions, REST/GraphQL APIs, and event\-driven architectures.
• Implement real\-time data processing solutions using Apache Kafka.
• Design and implement CI/CD pipelines to automate build, testing, and deployment processes.
• Provision and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) practices.
• Integrate AI and GenAI capabilities into applications and data platforms.
• Build, secure, and maintain API integrations while ensuring scalability and performance.
• Contribute to solution architecture, technical design, and implementation.
• Mentor junior engineers and provide technical guidance to the team.

• *Mandatory Skills**

• Databricks
• Microsoft Azure
• Snowflake
• SQL
• CI/CD
• Terraform
• Azure Functions
• Apache Kafka
• REST APIs / GraphQL APIs
• AI / GenAI

• *Required Experience**

• 6–8 years of experience in Data Engineering.
• Strong hands\-on experience building and supporting batch and streaming data pipelines.
• Ability to independently design, develop, and implement data engineering solutions.
• Experience with cloud\-based data platforms and enterprise integrations.
• Good understanding of DevOps, CI/CD, and Infrastructure as Code.
• Exposure to AI/GenAI integration within data platforms.

Pay: ₹70,000\.00 \- ₹100,000\.00 per month

Experience

• Data Engineer: 6 years (Required)

Work Location: Hybrid remote in Noida, Uttar Pradesh