Gravity Engineering Services Private Limited
Sr Power BI Developer
Gravity Engineering Services Private Limited, Gwynn Oak, Maryland, United States, 21207
Role: SR DATA ENGINEER
Location: Woodlawn, MD ( Hybrid Position - 3 days remote and 2 days onsite and vice versa)
Duration: Long Term
Job Description:Build and manage scalable data pipelines and solutions in Azure, utilizing Synapse Analytics and Microsoft Fabric to support analytics needs.The Senior Data Engineer with expertise in Azure Synapse Analytics and Microsoft Fabric will design, develop, and implement scalable data solutions to support analytics and reporting needs.The role involves creating, optimizing, and managing data pipelines to efficiently move and transform data across the Azure ecosystem.The candidate will be responsible for setting up and managing data lakes to store large volumes of structured and unstructured data, ensuring high availability and security.They will collaborate with cross-functional teams to gather data requirements and create efficient, scalable architectures.Strong experience in ETL development, data modeling, and cloud technologies like Azure Data Factory, Azure Data Lake, and Synapse Analytics is essential.The candidate will also ensure data quality, security, and compliance with governance standards.Requirements
Only LOCAL candidates from Maryland will be considered.For H1B Candidates, an H1B Passport number is required.
Location: Woodlawn, MD ( Hybrid Position - 3 days remote and 2 days onsite and vice versa)
Duration: Long Term
Job Description:Build and manage scalable data pipelines and solutions in Azure, utilizing Synapse Analytics and Microsoft Fabric to support analytics needs.The Senior Data Engineer with expertise in Azure Synapse Analytics and Microsoft Fabric will design, develop, and implement scalable data solutions to support analytics and reporting needs.The role involves creating, optimizing, and managing data pipelines to efficiently move and transform data across the Azure ecosystem.The candidate will be responsible for setting up and managing data lakes to store large volumes of structured and unstructured data, ensuring high availability and security.They will collaborate with cross-functional teams to gather data requirements and create efficient, scalable architectures.Strong experience in ETL development, data modeling, and cloud technologies like Azure Data Factory, Azure Data Lake, and Synapse Analytics is essential.The candidate will also ensure data quality, security, and compliance with governance standards.Requirements
Only LOCAL candidates from Maryland will be considered.For H1B Candidates, an H1B Passport number is required.