Senior Data Engineer – AWS

Senior Data Engineer – AWS
Experience:
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 AWS
Implement 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 DynamoDB
Apply data governance and access controls using AWS DataZone
Monitor and troubleshoot data platform issues using Amazon CloudWatch
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 & Experience
5–7 years of experience in Data Engineering or related roles
3+ years of hands-on experience designing data solutions on AWS
Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
Strong 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 Have
AWS 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