Azure Data Engineer

Overview

xJob Title: Data Engineer (Azure)

Company: The HubOps

Location: Remote (India, US Time Zone)

Salary: ₹80,000 - ₹1,20,000 per month

Experience: 3-5 years

About The HubOps:

The HubOps is a leading provider of AI and tech talent, connecting top-tier developers with US-based companies. We specialize in AI, blockchain, and machine learning development, offering innovative solutions to businesses worldwide. We are currently hiring a Data Engineer with expertise in Azure, Data Factory, and Data Lakes to work remotely from India while supporting US-based projects.

Role Overview:

As a Data Engineer at The HubOps, you will design, develop, and optimize scalable data pipelines for our US-based clients. You will work with cutting-edge Azure data technologies to process, store, and analyze large datasets while ensuring high performance and reliability. This is a remote role that requires working US business hours and collaborating with global teams to drive data-driven solutions.

Key Responsibilities:

• Develop, maintain, and optimize Azure Data Factory (ADF) pipelines for data ingestion, transformation, and integration.
• Design and manage Azure Data Lakes for structured and unstructured data storage.
• Implement data processing solutions using Azure Synapse Analytics, Azure SQL, and Databricks.
• Build and maintain ETL/ELT workflows for large-scale data processing.
• Ensure high data availability, security, and integrity by following best practices in data governance and compliance.
• Monitor data pipelines for performance bottlenecks, troubleshoot issues, and optimize workflows.
• Collaborate with data scientists, analysts, and software engineers to develop and deploy scalable data solutions.
• Automate data engineering workflows using Azure DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).
• Work with Kafka, Event Hubs, or similar streaming data services for real-time data processing.
• Provide documentation and technical guidance for data architecture and engineering solutions.

Required Skills & Experience:

• 3-5 years of hands-on experience in Data Engineering with a strong focus on Azure cloud technologies.
• Expertise in Azure Data Factory, Azure Data Lake, Synapse Analytics, and Azure SQL.
• Strong proficiency in SQL, Python, or Scala for data processing.
• Experience in building and optimizing ETL/ELT workflows.
• Familiarity with Azure DevOps, CI/CD, and automation tools.
• Ability to design scalable and cost-efficient cloud data architectures.
• Strong problem-solving and debugging skills.
• Excellent communication skills and ability to work remotely during US business hours.

Preferred Qualifications:

• Experience with Databricks, Power BI, or machine learning workflows.
• Knowledge of big data frameworks such as Apache Spark.
• Experience with data streaming technologies like Kafka or Event Hubs.
• Exposure to data security best practices and compliance frameworks.

Why Join The HubOps?

• Competitive compensation: ₹80,000 - ₹1,20,000 per month.
• Work on cutting-edge projects with US-based companies.
• Be part of a global team of AI, blockchain, and ML experts.
• Fully remote role with flexible work environment.
• Opportunities for career growth and professional development.

Job Type: Full-time

Pay: From ₹80,000.00 per month

Schedule:

• Day shift

Work Location: Remote