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Experience: 7+ years As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Databricks, SQL Server, and other Big Data related technologies). In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations. Must be able to analyze data and develop strategies for populating data lakes (Databricks / Delta Lake). This person may be called upon to do complex coding using T-SQL, Scala, or Python, using PySpark. Responsibilities: Work as part of a team to develop Cloud Data and Analytics solutions. Participate in the development of cloud data warehouses, data as a service, business intelligence solutions. Ability to provide solutions that are forward-thinking in data and analytics. Deliver a quality product, coding complex U-SQL, Spark (Scala or Python), T-SQL. Develop Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks). Skills/Qualifications: At least 3-5 years of experience designing and delivering data engineering solutions with Databricks. Hands-on experience in Azure Databricks. Mandatory experience as Data Engineer in Azure Big Data Environment. Expertise in ETL tools (Informatica, Talend, SSIS, Data Stage). Expertise in implementing Data Warehousing Solutions. Experience working in an Agile (KANBAN, Scrumban) environment as part of a scrum team. Programming experience in Scala or Python, T-SQL. Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory). Pls share profiles for the mentioned onsite demands: Skills Ratings Out of 5 # of years used Candidate writeup (must be detailed filled by applicant) Exp designing and delivering data engineering solutions with Databricks Exp in Azure Databricks Experience in Data Engineer in Azure Big Data Environment Expertise in ETL tools (Informatica, Talend, SSIS, Data Stage) Expertise in Implementing Data Warehousing Solutions Exp with working in Agile (KANBAN, Scrumban) environment Exp in Azure stack (Azure Data Lake, Azure Data Factory) Exp in Scala or Python, T-SQL #J-18808-Ljbffr