Azure Data Engineer Lead

Overview

Looking out a Lead Data Engineer Lead to design, develop, and maintain scalable data solutions on Microsoft Azure. The ideal candidate will have strong experience in data architecture, ETL processes, and cloud-based data platforms.

Experience:

• 4+ years of experience in data engineering
• Hands-on experience working on Azure cloud platform

Key Responsibilities:

• Design and develop data pipelines using Azure data services
• Build and optimize ETL/ELT processes using Azure Data Factory
• Develop scalable data solutions using Azure Databricks
• Manage and optimize data storage using Azure Data Lake and Azure Synapse Analytics
• Write complex queries and optimize performance using SQL
• Collaborate with data analysts, data scientists, and business stakeholders
• Ensure data quality, governance, and security best practices
• Monitor and troubleshoot data workflows and pipelines

Required Skills & Qualifications:

• Strong experience with Microsoft Azure data services
• Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
• Proficiency in Python and/or Scala
• Strong SQL and data modeling skills
• Experience with big data technologies and distributed systems
• Knowledge of data warehousing concepts and ETL methodologies
• Familiarity with version control tools like Git

Pay: ₹70,000.00 - ₹90,000.00 per month

Benefits:

• Health insurance
• Paid sick time
• Provident Fund

Application Question(s):

• What is your current CTC in your organization?
• What is your expected CTC?
• What is your current notice period?

Experience:

• Data Engineer: 4 years (Required)

Work Location: In person