Data Engineer

3 weeks ago


مصر, Egypt ArabyAds Full time

We are seeking a skilled and experienced Data Engineer to join our expanding data team at our digital marketing/adtech company. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure on AWS. In addition to strong data engineering skills, you should have experience with DevOps, ensuring scalability, reliability, and automation of our data processes.
- Responsibilities:_
- Design, build, and maintain scalable and efficient data pipelines to extract, transform, and load data from various sources into our data platform on AWS.
- Develop and optimize ETL processes to ensure the timely delivery of high-quality data for analysis and reporting purposes.
- Implement data governance and data quality frameworks to ensure data integrity and consistency.
- Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.
- Automate data workflows and processes using AWS services such as Lambda, Glue, Step Functions, and CloudWatch.
- Implement and manage CI/CD pipelines for data engineering workflows.
- Collaborate with data scientists and analysts to ensure the availability of reliable data for machine learning models and analytics.
- Monitor and troubleshoot data pipeline issues, ensuring data availability and reliability.
- Stay updated with the latest data engineering, DevOps, and MLOps trends and technologies.

**_ Essential Requirements:_**
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Proven experience as a Data Engineer, preferably in a cloud-based environment using AWS.
- Strong proficiency in data modeling, ETL development, and data warehousing concepts.
- Experience with AWS services such as S3, Glue, Lambda, Athena, Step Functions, and CloudWatch.
- Experience with Apache Spark framework.
- Solid understanding of database technologies, including SQL and NoSQL databases.
- Experience with containerization technologies such as Docker and orchestration frameworks like Kubernetes is a plus.
- Solid programming skills in languages such as Python, Java, or Scala.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration skills with the ability to work effectively in a team environment.

**_ Preferred Requirements:_**
- Understanding of machine learning concepts and experience collaborating with data scientists is desirable.
- Familiarity with DevOps practices and tools, including infrastructure as code (IaC) and CI/CD pipelines.


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