Data Engineer

  • الراتب:
    قابل للتفاوض
  • نوع الوظيفة:
    دوام كامل
  • تاريخ النشر:
    شهر واحد مضت
  • التصنيف:
    وظائف تكنولوجيا المعلومات, وظائف هندسية
  • آخر موعد للتقدم:
    2022-06-07
  • اللغات:
    العربية, الانجليزية
  • الجنس:
    الجنسين

Data Engineer
Location: Dubai

Will be responsible for creating Data orchestration with Azure Data Factory Pipelines & Dataflows. Key role includes to understand the business requirements and implement the reporting using Power BI

Roles & Responsibilities:
Understand business requirement and actively provide inputs from Data perspective
Understand the underlying data and flow of data.
Build simple to complex pipelines & dataflows in ADF
Should be able to implement modules that has security and authorization frameworks.
Recognize and adapt to the changes in processes as the project evolves in size and function.
Implement Visualization and traditional reporting in Power BI.

Knowledge, Skills & Abilities:
Expert level knowledge on Azure Data Factory and Power BI.
· Analytics experience, Real Estate and Finance domain knowledge is a plus.
Advance knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSAS, Logic Apps
Should be able to analyze and understand complex data.
Security Implementation like RLS in Power BI and data governance in Azure.
Knowledge of Azure data lake, SQL Databases, Stream Analytics, Azure DevOps and CI/CD.
Knowledge of master data management, data warehousing and business intelligence architecture.
Experience in data modeling and database design with excellent knowledge of SQL Server best practices.
Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision.
Should have clear understanding of DW lifecycle and contribute in preparing Design documents, Unit Test plans, Code review reports.
Experience working in Agile environment (Scrum, Lean, Kanban) is a plus
Knowledge of other BI tools like Qlik is a big plus.
Knowledge of Big data technologies –Spark Framework, NoSQL, Azure Data Bricks and Haqoop Ecosystem- Hive, Impala, HDFS, YARN, Pig, Oozie is a plus.

Qualifications & Experience:
Bachelor or master’s degree in computer science or related field.
At least 2 – 10 years of Data engineering or Software development experience

Email:Sandra@dicetekuae.com

العنوان