Senior/Lead Azure Data Engineer Gurugram (India)

Required Skills and Qualifications: Experience with Azure Ecosystem (Preferably Synapse): 5+ years of hands-on experience with Azure Ecosystem , including Synapse , Spark , OneLake , and other Fabric tools. Expertise in optimising Fabric notebooks and efficiently managing large-scale data workloads. Proficiency in Azure Data Factory: Solid experience with designing and orchestrating complex data pipelines using Azure Data Factory , with an emphasis on seamless data flow integration across various Azure services. Familiarity with Microsoft Fabric: A working knowledge or eagerness to learn Azure Data Fabric , focusing on cross-platform data orchestration, governance, and security. Advanced Data Engineering Skills: Extensive experience in data engineering, including the design and implementation of ETL processes and working with large datasets. Proven expertise in data quality , monitoring, and testing practices. Cloud Architecture Design Expertise: Experience designing and implementing data architectures in the Azure ecosystem , including tools such as Data Lake , Synapse , and Azure Storage . SQL and Data Modelling Expertise: Robust skills in SQL and data modelling , with the ability to design optimised data structures, tables, and views. Knowledge of both transactional and analytical data modelling. Collaboration and Communication Skills: Solid ability to work cross-functionally with teams from various domains. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Cost Optimisation: Proven experience optimising data engineering processes and Azure resources for both performance and cost, particularly in large-scale cloud environments. Preferred Skills:Data Lakehouse Experience: Familiarity with Data Lakehouse architectures, particularly with tools like Delta Lake , OneLake , etc. Azure Ecosystem Familiarity: Knowledge of Azures full ecosystem for end-to-end data integration and ETL processes. Proficiency in PySpark and