Senior Data Engineer - Giza Systems EG
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Job Description
Job Description
- Design develop and maintain scalable and robust data pipelines and ETL processes to extract transform and load data from various sources into our data warehouse or data lake.
- Collaborate with crossfunctional teams including data scientists analysts and software engineers to understand data requirements and ensure efficient data integration and data quality.
- Optimize data workflows and processes to improve data reliability performance and scalability.
- Implement and maintain data governance practices ensuring data security compliance and privacy regulations are adhered to.
- Perform data modeling and schema design to support data analytics and reporting requirements.
- Troubleshoot and resolve issues related to data pipelines data quality and system performance.
- Stay up to date with industry trends and emerging technologies in data engineering and recommend innovative solutions to enhance our data infrastructure and processes.
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.
- 5 years of professional experience in data engineering or a related role.
- Certifications in Informatica PowerCenter and/or Informatica Cloud (IDMC) preferred.
- Experience with cloud platforms and IDMC will be an added advantage.
- Solid understanding of data modeling data warehousing and ETL principles and technologies like talend SSIS.
- Strong programming skills in languages such as Python Java or Scala.
- Experience with distributed computing frameworks such as Apache Hadoop Spark or Flink.
- Proficiency in SQL and database technologies like SQL Server PostgreSQL or Oracle.
- Solid understanding of data modeling data warehousing and ETL principles and technologies.
- Familiarity with cloudbased data platforms like AWS Azure or GCP.
- Strong problemsolving and troubleshooting skills.
- Excellent communication and collaboration abilities.
Job Details
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Employment Type
Full Time
