Looking for: Data Engineer: Maryland-Hybrid at Maryland, New York, USA |
Email: [email protected] |
From: Prakash Singh, RCI [email protected] Reply to: [email protected] Job Title: Data Engineer Location: Maryland-(Hybrid) (Only Local DL to MD) Duration: 6+ Months Interview mode: Phone and Video (Local candidates only) Visa: Any visa except OPT and CPT Experience level: 12-15 years Notes: Client is looking for perfect match profile as per JD and kindly look for Maryland local candidates or nearby state candidates. Attached one form that needs to be filled by the candidates in details to share with the HM. Also need highest education certificate copy of the candidate to share with the HM. Database and analytical skills. Ability to query source data. Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing Extensible Markup Language (XML) and Structured Query Language (SQL). Knowledge of scripting languages, such as Python, and the ability to automate repetitive tasks in Azure. Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel. Ability to: Work productively and maintain effective working relationships with peers, end users, vendor development staff, and all levels of management and Judicial personnel. Critically think and problem solve, Provide excellent communication and mentoring needs, Quickly evaluate, learn and prototype new technologies. Write optimized SQL queries and manage databases, as Azure data analysts frequently interact with Azure SQL database and other SQL-based services. Experience with: BI best practices, relational structures, dimensional data modeling, structured query language (SQL) skills, data warehouse and reporting techniques. Dimensional modeling, STAR schema design, Snow fake schema design, slowly changing dimensions, confirmed dimensions. Designing and building BI solutions by monitoring and tuning queries and data loads, addressing user questions concerning data integrity, data mapping, monitoring performance and communicating functional and technical issues. Designing and implementing database models, schemes, and databases to support efficient data storage, retrieval, and analysis. Monitoring and optimizing data systems, data lifecycle, and infrastructure to ensure performance, scalability, and integrity. Designing and implementing ETL procedures for intake of data from multiple source systems; as well as ensure data quality and cleansing is verified. Normalization process Performing the design and extension of data marts, meta data, and data models. Ensuring all data warehouse architecture codes are maintained in a version control system. Advanced experience with technologies such as SQL Server 2016 or above, as well as with Azure data factory, SSIS and stored procedures Advanced experience developing codes, testing for quality assurance, administering RDBMS. High proficiency in dimensional modeling techniques and their applications Azures architecture in order to structure optimized data workflows. Experience with the following tools are required: Power BI Tableau Azure Synapse Azure Data Factory Azure Blob Storage Azure Databricks Microsoft Fabric One Lake Keywords: business intelligence Maryland Looking for: Data Engineer: Maryland-Hybrid [email protected] |
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Wed Jul 17 21:40:00 UTC 2024 |