Azure Data Engineer

As an ideal candidate for this role, you should have a Bachelors or higher degree in Computer Science or a related discipline; or equivalent with a minimum of 4+ years of work experience. Additionally, you should possess at least 1+ years of consulting or client service delivery experience on Azure Microsoft Fabric. It is essential to have 1+ years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases such as SQL server, and data warehouse solutions like Synapse/Azure Databricks. Your hands-on experience should include implementing data ingestion, ETL, and data processing using Azure services such as ADLS, Azure Data Factory, Azure Functions, and services in Microsoft Fabric. Moreover, a minimum of 1+ years of hands-on experience in Azure and Big Data technologies like Java, Python, SQL, ADLS/Blob, pyspark/SparkSQL, and Databricks is required. You should also have a minimum of 1+ years of RDBMS experience, along with experience in using Big Data File Formats and compression techniques. Familiarity with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, etc., would be an advantage. Key Responsibilities: - Develop data ingestion, data processing, and analytical pipelines for big data. - Implement data ingestion, ETL, and data processing using Azure services. - Work on relational databases such as SQL server and data warehouse solutions like Synapse/Azure Databricks. - Utilize Big Data technologies such as Java, Python, SQL, ADLS/Blob, pyspark/SparkSQL, and Databricks. - Use Big Data File Formats and compression techniques. - Collaborate with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, etc. Qualifications Required: - Bachelors or higher degree in Computer Science or a related discipline. - Minimum of 4+ years of work experience. - At least 1+ years of consulting or client service delivery experience on Azure Microsoft Fabric. - Proficiency in developing data ingestion, data processing, and analytical pipelines for big data. - Hands-on experience with Azure services like ADLS, Azure Data Factory, Azure Functions, and services in Microsoft Fabric. - Minimum of 1+ years of hands-on experience in Azure and Big Data technologies. - Minimum of 1+ years of RDBMS experience. - Familiarity with Big Data File Formats and compression techniques. - Experience with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, etc.,