Data Engineer - Giza Systems EG
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1 Vacancy
Job Description
Job Description
- Gathering the ETL/ELT requirements.
- Design Develop Test ETL/ELT different scenarios and support the ETL/ELT processes to Extract Transforming and Loading data from different sources to the data warehouse.
- Create and maintain optimal integration solutions including data pipeline architecture.
- Analyze multiple sources of structured and unstructured data to propose and design data architecture solutions for scalability high availability fault tolerance and elasticity.
- Assist architects in the design and implementation of highperformance systems with large volume data integration processes database storage and provisioning.
Personal Skills
- Strong communication interpersonal and presentation skills.
- Ability to multitask and work under pressure.
- Excellent command of English.
- Excellent verbal and written communication skills; influencing skills and ability to work effectively in a geographically dispersed team.
Technical Skills
- Bachelors degree in computer science Engineering or a related field. A masters degree is a plus.
- 3 years of professional experience in data engineering or a related role.
- Certifications in Informatica PowerCenter and/or Informatica Cloud (IDMC) preferred.
- 3 years of experience as a Data Engineer or ETL Developer using Informatica PowerCenter.
- Develop implement and optimize ETL (Extract Transform Load) workflows using Informatica PowerCenter.
- Design and build scalable data pipelines to extract data from various sources transform it according to business rules and load it into data warehouses or data lakes.
- Collaborate with data analysts architects and business stakeholders to ensure data accuracy quality and timeliness.
- Leverage Informatica Intelligent Data Management Cloud (IDMC) (preferred) to create cloudbased scalable data solutions.
- Ensure high performance and availability of ETL processes by performing routine maintenance optimization and troubleshooting.
- Document ETL processes standards and best practices to ensure smooth team collaboration and knowledge transfer.
Job Details
Preferred Candidate
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Employment Type
Full Time
