Azure Data Engineer (Immediate joiners only)

Azure Data Engineer

Location: Chennai, Bangalore, Mumbai, Gurugram

Work Mode: Hybrid

Experience: 5.5–8.5 Years

Role Overview

We are looking for an experienced Azure Data Engineer with strong expertise in data engineering, cloud technologies, and big data processing. The ideal candidate should have hands-on experience building scalable data pipelines, implementing ETL processes, optimizing data models, and managing data solutions using Azure services.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for data extraction, transformation, and loading (ETL).
• Build and optimize data processing solutions using Python, PySpark, and Databricks.
• Develop and manage data integration workflows using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Databricks (ADB).
• Implement data models and data warehouse solutions to support analytical and reporting requirements.
• Write and optimize advanced SQL queries to improve data processing efficiency and performance.
• Ensure data quality, accuracy, consistency, reliability, and security across data pipelines.
• Optimize database performance, storage utilization, and query execution.
• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver effective data solutions.
• Troubleshoot data pipeline issues and implement appropriate solutions to ensure smooth operations.
• Contribute to data strategy, best practices, and continuous improvement of data engineering processes.

Mandatory Skills

• Strong hands-on experience with Python and PySpark.
• Practical experience with Azure Databricks.
• Expertise in Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
• Advanced SQL skills, including query optimization.
• Experience in data warehousing, data modeling, and data integration.
• Strong understanding of data quality, data management, and data strategy.
• Excellent communication, analytical, and problem-solving skills.

Preferred Candidate Profile

Candidates should have proven experience delivering end-to-end data engineering solutions in Azure environments, with the ability to work collaboratively in a hybrid setup and manage complex technical challenges effectively.