GDS Consulting_D&A Staff Data Engineer

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APAC Assurance Strategic Enablement & Technology
Data Strategy & Enablement - Business Solutions and Automation 

Technical Specialist (Senior)
The Technical Specialist will be responsible for developing and maintaining different technologies created within the Business Solutions & Automation. They will also be working closely with different Construct to ensure projects are created based on requirements.

Key Responsibilities include:
•    Create and maintain data insights through a range of analytical products such as Power Platforms (Power Bi, Power Apps, Power Automate), Alteryx and SQL
•    Work closely with the tech leads to ensure that all requirements are addressed and reflects the needs of the business
•    Provide coaching and counselling to associates, and performing detailed reviews on their work
•    Working with a variety of stakeholders to ensure data integrity and insights are of the highest quality
•    Create technical documentation and prepare reference materials for users
•    Collaborate with the stakeholders and project coordinator to discuss development updates
•    Leveraging DevOps to provide continuous updates to the tech team
•    Maintain knowledge of technology innovations and trends
Skills & Attributes for Success:
•    Strong attention to detail with good interpersonal and problem-solving skills
•    Being a quick learner and demonstrating adaptability to change
•    Exceptional organisational skills with the ability to managing multiple tasks with conflicting demands and timeframes
•    The ability to function well in high pressure situations and manage the expectations of stakeholders
•    Ability to understand business processes and willing to identify and communicate areas for improvement
•    Should be open to working in different time zones and travelling on an as needs basis
•    Integrity in a professional environment.
•    Strong communications skills both verbal and written
Education & Experience:
•    A degree in Data Science, Data Analytics, or a closely related field
•    3-4 years of experience working with data – including, but not limited to:
-    Creating dashboards and visualisations
-    Using ETL tools to wrangle data into appropriate formats
-    Running queries in a data warehouse to obtain answers for a variety of stakeholders
•    Though not mandatory, knowledge in Data Factory and Figma will be considered a plus
 

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