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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeOn-site
LocationLocationRiyadh
Join Quant as a Senior Data Engineer and be part of a pioneering team at the forefront of data science and analytics.

As a Senior Data Engineer at Quant, you will play a critical role in preparing data for modeling and predictive analytics. Your responsibilities will encompass integrating new data sources and performing essential pre-processing tasks such as data cleansing and feature engineering. You will also manage various ETL-related operations and leverage your skills in software development to optimize data processes.

Key Responsibilities:
  • Design and implement scalable data pipelines utilizing SQL, Airflow, Python, Alteryx, and cloud technologies.
  • Lead data source integration and design data models that align with complex business requirements.
  • Ensure data quality by identifying and addressing issues in collaboration with data source owners.
  • Deploy and optimize machine learning models, statistical methods, and analytics programs.
  • Research novel data acquisition methods to enhance business value.
  • Integrate advanced data management tools and software engineering practices for enhanced system performance.
  • Build and maintain high-quality datasets that support decision-making processes.
  • Develop custom software components and analytics applications to meet business needs.
  • Implement strategies to improve data reliability, efficiency, and scalability.
  • Drive innovation through research and development initiatives.
  • Maintain clear and comprehensive technical documentation of ongoing projects.

Requirements:
  • Proficiency in Python with hands-on experience in data analysis and automation.
  • Experience with Dataiku for advanced data workflows and machine learning.
  • Familiarity with AWS or Azure cloud services.
  • Strong background in data visualization and statistical analysis for actionable insights.
  • Experience with machine learning models and big data projects.
  • Solid understanding of programming concepts and data architecture.
  • Ability to define and track meaningful metrics for analytics initiatives.
  • Excellent analytical skills with a balance of quantitative and qualitative insights.
  • Proficiency in Microsoft Office and Google Suite for effective documentation and collaboration.
  • Bachelor’s and/or Master’s degree in Computer Science or a related field.
  • Agility, innovation, and ownership in problem-solving.
  • Collaborative team player in multicultural environments.

Requirements

  • No experience required

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Job Summary: The Informatica Engineer will be responsible for designing, developing, and implementing ETL processes using Informatica tools within the telecommunications sector. This role involves ensuring data quality, integrity, and efficient data flow across systems.

Key Responsibilities:
  • Design, develop, and implement ETL processes using Informatica PowerCenter and Informatica Data Engineering.
  • Maintain and optimize existing ETL workflows and mappings.
  • Ensure data quality and integrity across all ETL processes.
  • Collaborate with data analysts and other stakeholders to understand data requirements.
  • Troubleshoot and resolve data-related issues.
  • Manage and integrate geographical data using Esri and ArcGIS Data Store.
  • Perform data modeling and control quality of data and follow the best practices in data management.
  • Perform realtime ingestion using CDC from different data stores including MS SQL and MariaDB.

Qualifications:
  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 3+ years of experience with Informatica PowerCenter or similar ETL tools.
  • Experience with SQL and relational databases.
  • Experience in Informatica Cloud or on Premise versions.

Skills:
  • Strong understanding of ETL concepts and best practices, CDC, and Spark.
  • Proficiency in Informatica PowerCenter, Informatica Data Engineering, and SQL.
  • Knowledge of Esri and ArcGIS Data Store.
  • Excellent problem-solving and analytical skills.
  • Experience with Denodo is preferred.

Preferred Qualifications:
  • Experience in data warehousing and big data technologies.
  • Knowledge of data governance and quality management.

breifcase0-1 years

locationRiyadh

22 days ago