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Company Overview
This well-established organization is a leading player in the aviation industry, connecting people and cultures across the globe. With a strong commitment to service excellence and innovation, they operate a modern fleet and offer a comprehensive network of destinations. They foster a dynamic and collaborative environment where employees are empowered to contribute to their ongoing success.
Job Description
Information Technology – Data & Analytics Engineer
The Data & Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across the group.
Key Responsibilities
Understand business processes, applications and how data is created, stored and gathered within the organization.
Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.
Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.
Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
Design, build and manage data marts to satisfy our growing data needs.
Be part of a project team to manage and deliver project deliverables, resources and timelines.
Any other ad-hoc duties.
This is an individual contributor role.
Note: You could be posted to any subsidiary within the group.
Requirements
Bachelor degree in Data Science & Analytics, Computer Science or a related technical field.
Possess good communications skills to understand our customers’ core business objectives and build end-to-end data centric solutions to address them.
Ability in analysing data to identify deliverables, gaps and inconsistencies.
Good critical thinking and problem-solving abilities.
Ability to work independently and manage multiple task assignments.
More than 2 years of SQL and Python experience is required.
Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus.
Experience in ETL pipeline design, implementation and maintenance.
Experience working with visualization tools (specifically Tableau would be preferred).
Disclaimer
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No Client Relationship: This company is not a client of SpringCube unless stated.
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