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Sr- Data Engineer

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Cairo, Egypt
Posted 2 years ago
9Applicants for1 open position
  • 0Viewed
  • 0In Consideration
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Job Details

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Job Description


The Lead Data Architect and Engineer is a unique opportunity to blend very high in-demand skills at one of the rising FinTech stars of the region.

The successful candidates will be responsible for 2 major responsibilities:

Optimizing data architecture in collaboration with the technology and product teams.This entails acting as a data consultant and the last line of defense that ensures all operational systems are designed, configured and built in the best way possible to enable all analytics requirements of now and the future, taking everything from efficiency to security into account.

Designing, building, testing and maintaining the entire analytics infrastructure. This is the more technical hands-on part of the job that includes but is not limited to
· Develop database and big data warehouses to store and retrieve company information

  • Ensure the continuity of analytics infrastructure in line with backend updates via automated data pipelines.
  • Install and configure information systems to ensure functionality
  • Analyze structural requirements for new software and applications
  • Design conceptual and logical data models and flowcharts
  • Improve system performance by conducting tests, troubleshooting and integrating new elements
  • Provide support to optimize new and current database systems
  • Facilitate self-service data infrastructure by building a data catalog
  • Coordinate with the Data Science department to identify future needs and requirements
  • Provide operational support for Management Information Systems (MIS)

Job Requirements

 

  • Minimum of a bachelor’s degree in Computer Science or related field.
  • Proven work experience as a Data Architect, Data Scientist, or Data Engineer.
  • In-depth understanding of and experience with database structure principles, data pipelines, and cloud-based data solutions (e.g. AWS, BigQuery, etc.)
  • Experience gathering and analyzing system requirements
  • Knowledge of data mining and segmentation techniques
  • Expertise in SQL and other data solutions and programming languages



 

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