System Engineer, Integration Analyst – Hamad International Airport

Full Time @ Qatar Airways Sector: Airline & Aviation
  • Doha, Qatar View on Map
  • Date Posted : May 23, 2022
  • Salary: Negotiable
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About the job

About the role:

As a Systems Engineer – Integration Analyst, you will be responsible for helping us achieve this ambition through:

  • Expanding and optimizing our data and data pipeline architecture using middleware and cloud technologies Experiment with new technologies and concepts to deliver a real positive impact on the airport and its stakeholders.
  • Supporting our software developers, database architects, data analysts, and data scientists on data initiatives
  • Ensuring optimal data delivery architecture is consistent throughout ongoing projects. Stakeholder co-ordination and liaison with suppliers.

Key accountabilities include:

  • Manage middleware platform Plan, Scope and Build integrations based on Business and Technical requirements to help centralize and streamline our IT transformation.
  • Enhance and replace outdated integrations and point to point solutions.
  • Investigate and recommend further improvements or other areas to pursue further integrations.
  • Create and maintain optimal data pipeline architecture for processing of structured and unstructured data.
  • Assemble large, complex data sets that meet functional and nonfunctional business requirements.
  • Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
  • Prepare raw data for manipulation by Data Scientists.
  • Assist the team to ensure regular compliance with change and other relevant processes of ISO 20000.
  • Acquire and transform data from various source systems in line with business priorities, solving for the key challenges of big data – volume, variety, velocity and veracity.
  • Oversee the preparation of technical documentation to ensure adequate data lineage, governance and compliance with information, security and other relevant policies.
  • Write unit/integration tests, contribute to engineering wiki, and document work.

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