Datawarehouse Developer/BI Developer/Azure Data Engineer

Role Overview: As an Azure Data Engineer / Data Warehouse Developer / BI Developer, you will be joining a Global Business Intelligence Team responsible for developing and maintaining the Enterprise Data Warehouse. Your role will involve maintaining standard Dashboards, providing data support for business self-service, and conducting data analysis activities. You are expected to have a minimum of 5 years of experience in this field at a Mid to Senior Level. Key Responsibilities: - Expertise in writing MS SQL queries, T-SQL, DB Designs, SSIS, and DB Performance - Proficiency in query optimization, error handling, and troubleshooting - Working knowledge of Azure Data Factory / Azure Synapse and creating pipelines with generic frameworks & standards for the team - Knowledge of securing Azure Components and experience in Azure Synapse Analytics (Azure Parallel DW) - Familiarity with PostgreSQL, Apache Superset, and RavenDB or other NoSQL document databases for data extraction - Experience or knowledge of Tableau, Qlikview, or similar tools - Designing data strategies, migrating from on-premise to hybrid and azure-based models - Strong communication skills, both written and spoken - Proficiency in Azure DevOps, version control systems (preferably GIT), Agile, and Scrum methodology Qualifications Required: - Minimum of 5 years of experience in data warehouse development and business intelligence - Proficiency in MS SQL queries, T-SQL, SSIS, and Azure Data Factory - Experience in Azure Synapse Analytics, PostgreSQL, Apache Superset, and NoSQL databases - Strong communication skills, both written and spoken - Knowledge of Agile and Scrum methodology Company Details: N/A Role Overview: As an Azure Data Engineer / Data Warehouse Developer / BI Developer, you will be joining a Global Business Intelligence Team responsible for developing and maintaining the Enterprise Data Warehouse. Your role will involve maintaining standard Dashboards, providing data support for business self-service, and conducting data analysis activities. You are expected to have a minimum of 5 years of experience in this field at a Mid to Senior Level. Key Responsibilities: - Expertise in writing MS SQL queries, T-SQL, DB Designs, SSIS, and DB Performance - Proficiency in query optimization, error handling, and troubleshooting - Working knowledge of Azure Data Factory / Azure Synapse and creating pipelines with generic frameworks & standards for the team - Knowledge of securing Azure Components and experience in Azure Synapse Analytics (Azure Parallel DW) - Familiarity with PostgreSQL, Apache Superset, and RavenDB or other NoSQL document databases for data extraction - Experience or knowledge of Tableau, Qlikview, or similar tools - Designing data strategies, migrating from on-premise to hybrid and azure-based models - Strong communication skills, both written and spoken - Proficiency in Azure DevOps, version control systems (preferably GIT), Agile, and Scrum methodology Qualifications Required: - Minimum of 5 years of experience in data warehouse development and business intelligence - Proficiency in MS SQL queries, T-SQL, SSIS, and Azure Data Factory - Experience in Azure Synapse Analytics, PostgreSQL, Apache Superset, and NoSQL databases - Strong communication skills, both written and spoken - Knowledge of Agile and Scrum methodology Company Details: N/A