Data Engineer

Dixp; New Delhi; On-site; INR 2,000,000 - 2,800,000; Full time

Job summary

Dixp is seeking a Data Engineer to build and maintain data infrastructure supporting data analysis and business intelligence. You will design, develop, and optimize data pipelines, ensuring data quality and storage solutions.

You will work with data scientists, analysts, and stakeholders to deliver high-quality data solutions. Responsibilities include designing cloud-based solutions on Azure or Google Cloud, managing cloud infra for performance and cost, and automating deployment and monitoring.

Qualifications

• Bachelor's degree in computer science, information technology, or a related field.
• 3+ years of experience in cloud engineering or a similar role.
• Proficiency in cloud platforms such as Azure or Google Cloud Platform.
• Strong understanding of networking, security, and cloud architecture.
• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Responsibilities

• Design and implement cloud-based solutions using Azure or Google Cloud Platform.
• Manage and optimize cloud infrastructure for performance, security, and cost-efficiency.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Automate deployment, monitoring, and management of cloud resources.
• Ensure compliance with security policies and best practices.
• Troubleshoot and resolve issues related to cloud infrastructure.
• Stay updated with the latest trends and technologies in cloud computing.

Skills

Cloud engineering

Networking

Security

Problem-solving

Communication

Collaboration

Education

Bachelor's degree in CS/IT

Tools

Terraform

CloudFormation

Docker

Kubernetes

Azure

Google Cloud Platform

Job description

Project Role Description: As a Data Engineer , you will be responsible for building and maintaining the datainfrastructure that supports data analysis, data science, and business intelligence efforts. This includes designing,developing, and optimizing data pipelines, ensuring data quality, and implementing data storage solutions. You willwork closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions. Design,develop and maintain data solutions for data generation, collection, and processing.

Key Responsibilities:

• Design and implement cloud-based solutions using Azure, or Google Cloud Platform.
• Manage and optimize cloud infrastructure for performance, security, and cost-efficiency.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Automate deployment, monitoring, and management of cloud resources.
• Ensure compliance with security policies and best practices.
• Troubleshoot and resolve issues related to cloud infrastructure.
• Stay updated with the latest trends and technologies in cloud computing.

Qualification:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 3+ years of experience in cloud engineering or a similar role.
• Proficiency in cloud platforms such as Azure, or Google Cloud Platform.
• Strong understanding of networking, security, and cloud architecture.
• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Prefered Qualifications:

• Cloud certifications (e.g., Certified Solutions Architect, Azure Solutions Architect Expert).
• Experience with DevOps practices and tools.
• Knowledge of big data technologies and data engineering.