Senior Data Engineer

Full Time @ Brunel Sector: Computer, Software & IT
  • Doha, Qatar
  • Date Posted : May 25, 2022
  • Salary: Negotiable
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About the job

Your Tasks

  • Main technical focal point leading and implementing data integration and load to Digital Data Platform (DDP) to support data analytics, data visualization and digital use cases
  • Main technical focal point responsible for implementing data architecture to deliver business requirements
  • Design, develop & monitor data integration pipeline to Microsoft Azure to fulfill business data requirements following Data Governance, Data Architecture and Data Security principles
  • Implementing and maintaining data lakes, databases & data warehousing solutions on Cloud and on[1]premises to deliver data to digital and enterprise business use cases, where the design shall be carried out in alignment with the data architect and business requirements
  • Direct involvement in the Data management lifecycle, from producing data integration mapping specifications, design and validation through to development and production deployments
  • Develop, construct, test and maintain data integration architectures including migrating on premises Integration pipelines to Cloud based.
  • Design and implement data solutions and technologies to support COMPANY activities in alignment with the data architect, Digital Project group and data governance
  • Identify ways to improve data reliability, performance, efficiency and quality
  • Deploy complex analytical algorithms, machine learning and statistical methods using programming languages and tools
  • Support data analytics through preparing and developing descriptive, diagnostic, predictive and prescriptive modeling
  • Use data to discover patterns and tasks that can be automated
  • Develop data set processes and data acquisitions
  • Contribute to the design, development, implementation and maintenance of complex data systems and solutions.
  • Drive initiatives in collaboration with IS teams especially data architect, data analysts and the various business entities to deliver solutions that maximizes the value of data.
  • Evaluate and recommend innovative solutions to mature COMPANY’s data operations and overall data management
  • Build and maintain effective working relationships with key entities and stakeholders in COMPANY and other parties as needed.
  • Support COMPANY to define new requirements, participating in End user meetings to derive and define the business requirement, propose cost effective solutions for data analytics and familiarize the team with the requirements, specifications, design targets & techniques to support task performance and delivery.
  • Review & Propose industry best tools & technology for ever changing business rules and data set from data engineering point of view,. Conduct Proof of Concepts (POC) with new tools & technologies to derive convincing benchmarks and deliver value based solution in Quick time.

Your Profile

  • Bachelor’s degree from an accredited university in Information Management or Computer Science or an engineering/business-related equivalent.
  • Deep experience in petroleum operations data and good understanding of the related data sources
  • Full understanding of Data Discovery, Data Visualization, Data Warehousing, Data Governance (e.g. datalogging, profiling, ownership/stewardship, Data Quality ..etc)
  • Solid track record implementing and maintaining data lakes, databases &data warehousing solutions
  • Strong experience in database technologies and techniques (e.g. SQL, NoSQL, Oracle,etc)

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