Data Warehouse Specialist

As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure SQL DW and other Big Data related technologies). You will be responsible for developing the next generation of application data platforms and/or enhancing recent implementations. Your role will involve analyzing data, developing strategies for populating data lakes, and coding complex solutions using U-SQL, Scala or Python, and T-SQL. Responsibilities: - Work as part of a team to develop Cloud Data and Analytics solutions - Participate in development of cloud data warehouses, data as a service, and business intelligence solutions - Perform data wrangling of heterogeneous data - Provide forward-thinking solutions in data and analytics - Deliver high-quality products - Code complex solutions using U-SQL, Spark (Scala or Python), and T-SQL - Develop Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks) Qualifications: - Expertise in Any ETL tool i.e. (SSIS, Informatica, Data Stage) - Ability to Implement Data warehousing Solutions - Experience as a Data Engineer in Azure Big Data Environment - Programming experience in Scala or Python, SQL - Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory - Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW - Proficiency in Azure Databricks platform to build data analytics solutions for performance & scale - Demonstrated analytical and problem-solving skills, especially in a big data environment - Good Understanding of Modern Data Warehouse/Lambda Architecture and Data warehousing concepts As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure SQL DW and other Big Data related technologies). You will be responsible for developing the next generation of application data platforms and/or enhancing recent implementations. Your role will involve analyzing data, developing strategies for populating data lakes, and coding complex solutions using U-SQL, Scala or Python, and T-SQL. Responsibilities: - Work as part of a team to develop Cloud Data and Analytics solutions - Participate in development of cloud data warehouses, data as a service, and business intelligence solutions - Perform data wrangling of heterogeneous data - Provide forward-thinking solutions in data and analytics - Deliver high-quality products - Code complex solutions using U-SQL, Spark (Scala or Python), and T-SQL - Develop Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks) Qualifications: - Expertise in Any ETL tool i.e. (SSIS, Informatica, Data Stage) - Ability to Implement Data warehousing Solutions - Experience as a Data Engineer in Azure Big Data Environment - Programming experience in Scala or Python, SQL - Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory - Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW - Proficiency in Azure Databricks platform to build data analytics solutions for performance & scale - Demonstrated analytical and problem-solving skills, especially in a big data environment - Good Understanding of Modern Data Warehouse/Lambda Architecture and Data warehousing concepts