Who we are

Belhati is one of the competitive consulting companies, headquartered in United Kingdom that provide cutting-edge technology solutions, that enable businesses to thrive in the digital era. We specialize in Cloud, DevOps, Data Science, Blockchain, IoT, and Metaverse technologies, and our team of experts is dedicated to delivering innovative solutions that drive business growth and transformation.

Our team of experts has years of experience in above technologies. They are highly skilled, use the latest tools and technologies to design, develop, and implement solutions that transform businesses and drive innovation.

What will your job look like

• Design, Develop, Test and maintain efficient, scalable data pipelines and ETL process  
• Translate customer requirements to develop effective, robust data solutions in line with customer Data Engineering standards 
• Work with other Data Engineers and Architects in tuning and optimising the data pipelines/ETL processes 
• Effective stakeholder engagement at all stages of the Data Engineering project lifecycle, from pre-feasibility through to delivery
• Implement processes to monitor performance and data quality 

Requirements

• Must have experience in developing, building and deploying solutions based on Microsoft Azure SQLDW, TSQL, Databricks, Data Lake, Azure Data Factory, Blob Storage Spark/Spark SQL, Azure Logic Apps, Azure Log analytics. 
• Demonstrable experience and understanding of end-to-end data delivery techniques including data modelling, ETL building, Quality Assurance and performance tuning 
• Experience in designing and building cloud based ETL/ELT pipelines and data migrations and dealing with high volume systems  
  Good understanding of monitoring and tuning data pipeline workloads, preferably in ADF/ Azure Synapse  
  Experience in building pipelines and loading data into Azure SQL Data Warehouse / Azure Synapse or SQL Server BI Toolset (SRSS, SSIS, SSAS) 
• An in-depth understanding of data management (e.g., permissions, recovery, security and monitoring) and capable of choosing the right data stores/data processing for the job (relational and non-relational stores, batch, and Real Time processing) 
• Experience in dealing with different data schemas (including Microsoft SQL Server i.e., MSSQL, NoSQL, API Based) is required 
• Experience of working with MI / BI Analysts / Visualisers to understand their requirements 
• Experience in agile delivery methodologies, CI/CD practices 
• Any knowledge of the following is desirable: Teradata, Azure pipelines, Azure DevOps and Linux.