Azure Data Engineer

Role Overview

iValue Labs Pvt. Ltd. is seeking a full-time Data Engineer to design, develop, and maintain robust data engineering solutions. The role focuses on building and optimizing ETL/ELT pipelines, integrating data from multiple sources, and transforming data into reliable, scalable datasets for analytics and business applications using Azure technologies.

Responsibilities

• Build and optimize ETL/ELT pipelines.
• Integrate data from multiple sources and transform it into scalable datasets.
• Work with Azure Data Factory and Azure Databricks for data orchestration and processing.
• Develop SQL queries and data models.
• Write Python-based data processing solutions.
• Ensure data quality, performance, and accessibility.
• Collaborate with cross-functional and technical teams to deliver efficient data solutions.

Requirements

• 2+ years of professional experience in Data Engineering or a related field.
• Strong hands-on experience with Azure Data Factory.
• Proficiency in Azure Databricks for data processing and engineering workflows.
• Strong knowledge of SQL, including complex queries and optimization.
• Experience building and maintaining ETL/ELT pipelines.
• Proficiency in Python for data processing and automation.
• Understanding of data warehousing, data modeling, and data integration concepts.
• Ability to join within 2–4 weeks is preferred.

Skills

• Azure Data Factory
• Azure Databricks
• SQL
• Python
• ETL/ELT Pipelines

Benefits & Details

• Position: Data Engineer
• Experience: 2+ years
• CTC: Up to ₹15 LPA
• Work Location: Remote