Manager Data Engineering
Qatar Airways
منذ 1 يوم
source :

KeyResponsibilities :

  • Expert in architect, design,construct, install, test and maintain highly scalable and optimizeddata pipelines with state-of-the-art monitoring and establishedbaseline pipeline architecture.
  • Architect, build theoptimal data extraction & transformation mechanisms forvarious kinds of data, optimal technology for storing data in thedata lake;
  • based on size, complexity and needs from business teams

  • Architect the solution to ensure optimal maintenanceprocess for the data in the lake; in terms of real time needs; dataanalysis needs and data archiving / long term data retention.
  • Bring together large, complex and sparse data sets tomeet functional and non-functional business requirements and use avariety of languages, tools and frameworks to marry data
  • Design and implement data tools for analytics and data scientistteam members to help them in building, optimizing and tuning of usecases.
  • Architect, design and build data warehousesolutions.
  • Establish the data access guidelines coveringdata cataloguing, data semantics, data security, data governancewhere needed.
  • Provide technical leadership to the dataengineering team and review / contribute to the artefactsdelivered, including technical architecture, functional andnon-functional requirements, interface specifications and highlevel design documents.
  • Proficient in architecturalpatterns and ensure to QR-IT Software Governance Integrationstandards.
  • Lead root cause analysis of reported criticalincidents and recommend / ensure implementation of effectivepreventive actions to avoid repetition.
  • Reviewfunctional and non-functional requirements for the deliveriesassigned and recommend / develop technology frameworks.
  • Drive high performance and accountability for superior results andemployee engagement. Provide staff with timely, candid andconstructive performance feedback;
  • develop employees to theirfullest potential and provide challenging opportunities thatenhance employee career growth; recognize and reward employees foraccomplishments.

  • Promote, train, support, and advocateData Architecture best practices, such as, master data management,data modeling, data modernization etc.
  • Establish thedepartment or teams objectives and priorities to align with andsupport business objectives.
  • Regularly evaluate thedepartment or team objectives, plans, procedures, practices, andmakes appropriate changes if needed.
  • Recruit, train anddevelop team members to create a high quality data engineeringcapability
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