Jobs → Data & Analytics → Data Engineer

About the Role We are seeking a Data Engineer to join our team. This technical role focuses on designing, developing, and maintaining scalable cloud-native data engineering solutions and analytics platforms. Key Responsibilities • Design and develop scalable cloud-native data engineering solutions • Build and optimize ETL/ELT pipelines using PySpark and SQL • Develop and manage data ingestion, transformation, and processing workflows on Azure Databricks • Implement scalable and high-performance data models and data lake/lakehouse solutions • Ensure data quality, reliability, performance, and governance across enterprise data pipelines • Collaborate with data architects, data scientists, analysts, and business stakeholders Requirements • 6-10 years of experience in data engineering • Strong expertise in Azure, Azure Databricks, PySpark, and SQL • Hands-on experience with distributed data processing • Ability to deliver secure, scalable, maintainable, and analytics-ready data solutions • Strong problem-solving skills • Experience with enterprise cloud and data engineering best practices