Data Engineer

Company Description

Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organisation of society and the living environment of citizens all over the world.With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group's operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.

Job Summary

: The Data Engineer will be responsible for leveraging the data platform to create data products for business. This role involves the development of data products, data pipelines, data transformation, data cleansing, data normalization, deployment & support for various functions within EGIS.Technologies: Azure, Data Bricks, Azure DevOps, Azure ADO Gitlab, Github, & Snow

Key Responsibilities

:

• Plan, design, and execute tenant-to-tenant migrations in Azure without any disruption to business operations.
• Conduct detailed discovery and assessment of external Azure tenants (source) to understand current configurations, services, and dependencies.
• Design and develop automated data injestion pipeline which fetch data from legacy ERP systems
• Ability to build the transformation logic based on business & regional team need
• Ability to conduct pre & post automated data validation che,ck
• Optimize the workflow execution and implement parallel processing to handle high data volume
• Address and resolve data issues, including failures in ETL pipelines, system performance problems, and data inconsistencies
• Propose solution to automate & optimise the process
• Proficiency in data mapping and data governance between Legacy system & Oracle ERP Cloud FBDI
• Propose & implement best practices for data ingestion & data transformation
  

Qualifications

Qualifications

:

• Bachelor's degree in B.E in Computer Science, Data Management, or a related field.
• Proficiency in coding skill such as Python, Pyspark & Azure SQL
• Proficiency in Oracle ERP Cloud FBDI
• Strong business analysis & communication skills
• Strong understanding of data management, automation & optimization.
• Excellent analytical, troubleshooting and problem-solving skills.
• Years of Experience 6-7 years in a similar role.
  

Additional Information

Data Migration & Azure Tenant to Tenant Migration