Data Engineer

3 weeks ago


Abu Dhabi, United Arab Emirates Sundus Full time
General Responsibilities

  • Design and maintain cloud, on-premises, and hybrid data platform architectures
  • Identify, design and implement full data warehouse and Big Data solutions
  • Design and maintain optimal data pipeline architectures for batch and real-time processing
  • Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Work in a customer facing environment alongside with technical and business stakeholders to assist with data-related needs
  • Manage the workload of team members though productivity and collaborations tools such as DevOps and JIRA
  • Execute regular work review and coaching of team members
  • Provide regular and effective progress updates to and work closely with Project Managers to ensure the management of any delivery risks or issues
  • Take responsibility for making key decisions to ensure the successful implementation of all initiatives
  • Contribute and support the business development team with solution design, budget and high-level schedule

Job Specific Responsibilities

  • Strong hands-on experience on implementing modern data platform solutions
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Capable of leading data initiatives and communicate clearly with business stakeholders
  • Ability to work efficiently without supervision
  • Advanced working SQL and Python knowledge and experience working with relational and unstructured databases and, query authoring (SQL) and Pyspark as well as working familiarity with a variety of databases
  • Experience building and optimizing data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Technical aspects of Data Governance including glossary, metadata, data quality, master data management & data lifecycle management
  • Security, authentication and authorization
  • Experience working in agile/scrum setup
  • Experience with Azure Devops or any other Devops practice
  • Experience building and maintaining Data Lakes
  • Experience building and maintaining Azure Data Lakes and Synapse Azure environments
  • Experience with Data Lineage and Data cleansing tools – CluedIn preferred

Qualifications And Experience

  • Bachelor of Science Degree in IT/Computer Science/ Computer Engineering.
  • Minimum 7 years of relevant experience in Data Analysis and BI solutions preferred .
  • Azure Certified (Data track) ex (dp-900, pl-200, DA-100).
  • Experience in Azure-based data platform mainly Azure Data Factory, Azure SQL, and Azure Synapse
  • Experience in Power BI and Cognos.


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