Senior Data Engineer – AWS
Job Description
Careers at NorthBay
We’re a fast-growing AWS Premier Consulting Partner 100% focused on guiding organizations on their digital transformation journey – and we’re on the lookout for great talent to join us.
We are committed to providing our staff with critical experience on cutting-edge technology projects, and to creating an environment that breeds talent and encourages high-quality performance. Our globally distributed team of more than 350 onshore/offshore AWS-certified solutions architects, engineers and developers has deep expertise in cloud migration, application and data modernization, and data analytics initiatives.
At NorthBay, you can learn to apply your experience with java, .NET, enterprise data analytics platforms and other core technologies to the cloud and work on sophisticated Web 3.0 blockchain, block commerce and high-profile streaming media solutions for well-known organizations in financial services, higher education, healthcare, retail, and more.
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