Lead Azure Data Engineer

About the Company

A global technology consulting and digital transformation organization delivering enterprise solutions across cloud, data engineering, analytics, AI, automation, and digital platforms. The company has a strong international presence and specializes in building scalable, cloud-native solutions for enterprise clients across multiple industries.

Roles & Responsibilities

• Design and develop scalable Azure-based data engineering solutions.
• Build and optimize enterprise ETL/ELT pipelines for large-scale data processing.
• Develop cloud-native data platforms using Azure services and modern data frameworks.
• Work closely with Data Science, Analytics, and Business teams for data-driven solutions.
• Lead data modernization and migration initiatives on Azure Cloud.
• Implement best practices for data governance, security, monitoring, and performance optimization.
• Support batch and real-time data processing architectures.
• Mentor junior engineers and provide technical leadership to the team.

Required Skills

• Python
• SQL
• Spark / PySpark
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake
• Airflow
• Kafka
• Snowflake / Delta Lake
• Azure PaaS Services
• ETL / ELT Pipeline Development
• Data Warehousing & Data Modeling
• Cloud Data Engineering

Good to Have

• REST API Development
• CI/CD & DevOps Practices
• Data Governance & Security
• Agile/Scrum Methodology
• Leadership & Stakeholder Management Skills