Data Engineer - MADE4TECH GLOBAL LIMITED : Job Details

• Azure
• ETL
• Data Lake/Warehouse

Our client is in the process of undergoing an exciting digital transformation and are looking for an experienced Data Engineer to be part of their Data Science & Analytics TeamThe team works with a range of business teams including Tech and Change and your focus will be:

• The development and maintenance of the end-to-end data pipelines and data warehouse
• Implementing systems and standards to ensure service quality
• Maintenance of code repositories

What kind of person are you to be a Data Engineer

• A strong, independent problem solver
• Able to work through complex problems
• Work independently on own projects but also flexible to step in to help with any critical issues
• Have a wide understanding of data infrastructure and environments and who can implement best practice
• A team player but also able to use own initiative
• A problem solver with a good eye for details and REAL-TIME hands-on experience
• Be self-motivated to continuously learn with the goal to become an expert

Knowledge and Experience required to be a Data Engineer

• Good knowledge of the tools, techniques, and processes for cleaning, shaping data from a variety of sources
• Have the ability to create robust data models to drive the business insights
• Collect and translate the business requirements for analytics solutions
• Operate and implement a variety of data structures
• Able to troubleshoot and anticipate any issues
• Design and develop the data engineering steps needed to provide the required data
• Good working knowledge of: MS. SQL, Python, Snowflake, Azure Services, ETL, Elasticsearch, GitLab (or similar)
• Machine learning model deployment experience would be a plus
• Experienced in building and maintaining a live cloud data lake and data warehouse

What you will do as a Data Engineer

• Design and develop ETL processes
• Design, build and maintain the data pipelines and data models
• Pipeline automation
• Support the business in the implementation of Data Engineering applications and tools
• Take ownership of warehouse platform
• Take responsibility for the quality of the code base to ensure the data is reliable
• Be a good communicator as you will be speaking to various Business Departments and stakeholders