Senior Data Engineer

at  Giza Systems EG

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 cross-functional 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 multi-task 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

• Bachelor’s degree in computer science, Engineering, or a related field. A master’s 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 cloud-based data platforms like AWS, Azure, or GCP.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.

Please refer the Job description for details