TechDigital Group
Experience:
7+ years Strong ETL experience in Talend is a must. 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, and business intelligence solutions. Ability to provide solutions that are forward-thinking in data and analytics. Deliver a quality product by coding complex 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). Skills/Qualifications: At least 3-5 years of experience designing and delivering data engineering solutions with Databricks. Hands-on experience in Azure Databricks. Must have skills:
Expertise in ETL tool TALEND. Strong database fundamentals including SQL, performance, and schema design. Expertise in ETL tools (Informatica, Talend, SSIS, Data Stage). Expertise in implementing Data Warehousing Solutions. Experience working in an Agile (KANBAN, Scrum) 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). Good to have skills:
Good understanding of the Azure Databricks platform and ability to build data analytics solutions to support the required performance & scale. Good understanding and experience working on Delta Lake using Apache Delta in Azure Databricks. Experience working on performance tuning and optimizing long-running jobs. Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment. Good understanding of Modern Data Warehouse and Data Warehousing concepts.
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7+ years Strong ETL experience in Talend is a must. 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, and business intelligence solutions. Ability to provide solutions that are forward-thinking in data and analytics. Deliver a quality product by coding complex 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). Skills/Qualifications: At least 3-5 years of experience designing and delivering data engineering solutions with Databricks. Hands-on experience in Azure Databricks. Must have skills:
Expertise in ETL tool TALEND. Strong database fundamentals including SQL, performance, and schema design. Expertise in ETL tools (Informatica, Talend, SSIS, Data Stage). Expertise in implementing Data Warehousing Solutions. Experience working in an Agile (KANBAN, Scrum) 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). Good to have skills:
Good understanding of the Azure Databricks platform and ability to build data analytics solutions to support the required performance & scale. Good understanding and experience working on Delta Lake using Apache Delta in Azure Databricks. Experience working on performance tuning and optimizing long-running jobs. Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment. Good understanding of Modern Data Warehouse and Data Warehousing concepts.
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