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Description We are seeking a highly experienced Azure Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and architecture, as well as experience working with Microsoft Azure cloud technologies. Responsibilities - Design, build and maintain data pipelines and ETL processes using Azure Data Factory, Databricks, and other related technologies - Develop and maintain data models and data warehouses using Azure Synapse Analytics and other related technologies - Collaborate with data scientists, business analysts, and other stakeholders to identify and address business needs and requirements - Perform data profiling, data quality assessments, and data cleansing activities to ensure high data quality and integrity - Develop and maintain data integration and data transformation processes using SQL, Python, and other related technologies - Monitor and troubleshoot data pipelines, data models, and data warehouses to ensure data accuracy and completeness - Stay up-to-date with emerging data engineering technologies and industry trends, and provide recommendations for process improvements and efficiencies Skills and Qualifications - Bachelor's or Master's degree in Computer Science, Information Systems, or related field - 7-12 years of experience in data engineering and architecture, with a focus on Microsoft Azure cloud technologies - Strong experience with Azure Data Factory, Azure Synapse Analytics, and Databricks - Expertise in SQL, Python, and other related technologies for data integration and transformation - Experience with data modeling and data warehousing - Experience with data profiling, data quality assessment, and data cleansing - Robust analytical and problem-solving skills - Excellent communication and collaboration skills - Ability to work independently and in a team environment - Immediate Joiner only Description We are seeking a highly experienced Azure Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and architecture, as well as experience working with Microsoft Azure cloud technologies. Responsibilities - Design, build and maintain data pipelines and ETL processes using Azure Data Factory, Databricks, and other related technologies - Develop and maintain data models and data warehouses using Azure Synapse Analytics and other related technologies - Collaborate with data scientists, business analysts, and other stakeholders to identify and address business needs and requirements - Perform data profiling, data quality assessments, and data cleansing activities to ensure high data quality and integrity - Develop and maintain data integration and data transformation processes using SQL, Python, and other related technologies - Monitor and troubleshoot data pipelines, data models, and data warehouses to ensure data accuracy and completeness - Stay up-to-date with emerging data engineering technologies and industry trends, and provide recommendations for process improvements and efficiencies Skills and Qualifications - Bachelor's or Master's degree in Computer Science, Information Systems, or related field - 7-12 years of experience in data engineering and architecture, with a focus on Microsoft Azure cloud technologies - Strong experience with Azure Data Factory, Azure Synapse Analytics, and Databricks - Expertise in SQL, Python, and other related technologies for data integration and transformation - Experience with data modeling and data warehousing - Experience with data profiling, data quality assessment, and data cleansing - Robust analytical and problem-solving skills - Excellent communication and collaboration skills - Ability to work independently and in a team environment - Immediate Joiner only
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