• Data Engineers are tasked with transforming data into a format that can be easily analyzed and utilized.

• The Data Engineer works closely other stakeholders to ensure the quality of data and the systems implemented is upheld to the highest standards possible

• Support in the development of use cases and build the data models and data flows required to support analytical model development

• Build and monitor the integrations of the company including ETL / ELT

• Build and deploy inference pipelines to productionize the models built and refactor code for new future algorithms as a reusable library

• Set up of CI/CD (continuous integration and continuous deployment) pipelines required for the delivery of the company\xe2\x80\x99s data services (analytics, data mart, etc.) on their own data platform

• Set up model monitoring capabilities and model retraining workflow to ensure continuous improvement of data models

• Work with the data architect and external vendors in the implementation of any technology infrastructure or tools

• Work closely with Data Architect to produce conceptual and logical data architecture design across the platform

• Build, test and maintain data connectors and data pipelines required for data acquisition in the platform

• Set up data management tools to ensure data is handled appropriately on the platform

• Perform the relevant tests required to ensure data quality and perform holistic analysis of the datasets defined for the company

• Maintain the data quality of dashboards and reports consistently with the relevant internal and external stakeholders (e.g., Data Director, etc.)

• Work with data owners, stewards and data governance and compliance team to understand the business rules and to deploy them into the ETL / ELTs as well as integrate them with the existing dashboards

• Test the outcome of ETL integration, and initiate reconciliation between ETL outputs and ingestions inputs

• Build the test automation rules relating to data ingestion, if applicable

• Provide advice on data topics to ecosystem stakeholders whenever required

• Minimum of 5 years of experience in a Data Engineer role

• Preferred degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

• Experience in Big Data platforms such as AWS, Azure, Spark, CouchDB, Hive, Pig, etc.

• Experience in integrating data into analytical platforms, ingestion technologies, data profiling, source-target mappings, ETL development, SQL optimization, testing and implementation

• Experience with building processes supporting data transformation, data structures, metadata, dependency, and workload management

• Experience supporting and working with cross-functional teams in a dynamic environment

• Strong analytic skills related to working with unstructured datasets

Al Nahiya Group