Azure Data Engineer

Location: Mumbai Job Type: Full-Time (Hybrid 3 days in office, 2 days WFH) Job Overview: We are looking for a skilled Azure Data Engineer with strong experience in data modeling, pipeline development, and SQL/Spark expertise. The ideal candidate will work closely with the Data Analytics & BI teams to implement robust data solutions on Azure Synapse and ensure seamless data integration with third-party applications. Key Responsibilities: Design, develop, and maintain Azure data pipelines using Azure Synapse (SQL dedicated pools or Apache Spark pools).Implement data models in collaboration with the Data Analytics and BI teams.Optimize and manage large-scale SQL and Spark-based data processing solutions.Ensure data availability and reliability for third-party application consumption.Collaborate with cross-functional teams to translate business requirements into scalable data solutions. Required Skills & Experience: 35 years of hands-on experience in: Azure data servicesData ModelingSQL development and tuningApache SparkStrong knowledge of Azure Synapse Analytics.Experience in designing data pipelines and ETL/ELT processes.Ability to troubleshoot and optimize complex data workflows. Preferred Qualifications: Experience with data governance, security, and data quality practices.Familiarity with DevOps practices in a data engineering context.Effective communication skills and the ability to work in a collaborative team environment. Location: Mumbai Job Type: Full-Time (Hybrid 3 days in office, 2 days WFH) Job Overview: We are looking for a skilled Azure Data Engineer with strong experience in data modeling, pipeline development, and SQL/Spark expertise. The ideal candidate will work closely with the Data Analytics & BI teams to implement robust data solutions on Azure Synapse and ensure seamless data integration with third-party applications. Key Responsibilities: Design, develop, and maintain Azure data pipelines using Azure Synapse (SQL dedicated pools or Apache Spark pools).Implement data models in collaboration with the Data Analytics and BI teams.Optimize and manage large-scale SQL and Spark-based data processing solutions.Ensure data availability and reliability for third-party application consumption.Collaborate with cross-functional teams to translate business requirements into scalable data solutions. Required Skills & Experience: 35 years of hands-on experience in: Azure data servicesData ModelingSQL development and tuningApache SparkStrong knowledge of Azure Synapse Analytics.Experience in designing data pipelines and ETL/ELT processes.Ability to troubleshoot and optimize complex data workflows. Preferred Qualifications: Experience with data governance, security, and data quality practices.Familiarity with DevOps practices in a data engineering context.Effective communication skills and the ability to work in a collaborative team environment.