Database Administrator and Developer

1 week ago

thiruvananthapuram, India beBeeDataEngineer Full time

Job OverviewThis role involves designing and administering large-scale database systems on Microsoft platforms. Data Engineering Responsibilities:The ideal candidate will have extensive experience in implementing data structures, managing large databases, and developing complex SQL queries for data extraction, transformation, and analysis.Azure Data Factory is also a key aspect of this role.Candidates should be familiar with data warehouses, data pipelines, and ETL processes. Detailed DescriptionThis position requires collaboration with IT and business teams to understand data requirements and provide effective solutions.The selected individual should ensure the integrity, security, and performance optimization of database systems.Maintenance of documentation for database architecture, data flows, and processes is essential. Required Skills and QualificationsA minimum of 7 years of experience in data engineering with a focus on implementing data structures and administering large databases.Extensive knowledge of Microsoft SQL Server and Azure Database.Strong expertise in database design, architecture, administration, and management.Hands-on experience with data warehouses, data pipelines, and ETL processes. Preferred BackgroundA background in the retail industry is highly preferred.Excellent problem-solving and analytical skills are required.Strong communication skills, both written and verbal, are essential. Benefits and Work EnvironmentThis role offers opportunities for professional growth and development.The selected individual will work closely with stakeholders to ensure data solutions align with business objectives and technology roadmap. About This RoleTroubleshooting and resolving database-related issues promptly is an important part of this role.Providing strategic planning for the implementation of new systems and enhancements is also expected.Staying updated with the latest industry trends and technologies in data engineering is essential.

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