Data Architect

7 days ago


al Jumayliyah, Qatar NOVEL OVERSEAS CORPORATION Full time

    Job Summary

    We are seeking a highly skilled and experienced Data Engineer to join our team at NOVEL OVERSEAS CORPORATION. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.

    Key Responsibilities

  • Design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems.
  • Collaborate with data scientists and analysts to optimize models and algorithms for data quality, security, and governance.
  • Integrate data from different sources, including databases, data warehouses, APIs, and external systems.
  • Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed.
  • Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
  • Optimize data pipelines and data processing workflows for performance, scalability, and efficiency.
  • Monitor and tune data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance.
  • Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
  • Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance.
  • Works with board members and other executives to establish the vision for managing data as a business asset.
  • Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making.

    Requirements

  • At least six years of work experience in data management disciplines, including data integration, modeling, optimization, and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
  • Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake).


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