Senior Data Engineer – AWS

Senior Data Engineer – AWSExperience: 5–7 Years. Location: Cairo, Egypt (Onsite). Employment Type: Full-Time. Position Overview. We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms.

The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.Key Responsibilities. Develop and maintain batch and real-time data pipelines on AWSImplement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services. Assist in workflow orchestration using Apache Airflow (MWAA).

Support serverless data processing using AWS Lambda. Participate in designing data warehousing solutions using Amazon Redshift. Design and manage data storage strategies with Amazon S3 and DynamoDBApply data governance and access controls using AWS Data. Zone. Monitor and troubleshoot data platform issues using Amazon Cloud.

Watch. Collaborate with Analytics, BI, Data Science, and Business teams. Write clean, efficient code, and perform peer code reviews. Follow security, compliance, and data governance standards.

Required Skills

& Experience5–7 years of experience in Data Engineering or related roles3+ years of hands-on experience designing data solutions on AWSProficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon Cloud. Watch, Amazon Redshift, Amazon DynamoDB, AWS Data. Zone, Amazon S3Strong programming skills in Python.

Advanced SQL skills with performance tuning expertise. Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices. Familiarity with Agile/Scrum delivery environments. Problem-solving and analytical skills. Nice to HaveAWS Professional Certification (Solutions Architect / Data Analytics Specialty).

Experience with real-time streaming (Kinesis, Kafka). Exposure to data governance and metadata management tools. Knowledge of cost optimization in AWS