Senior Data Engineer – AWS
At a glance
Senior Data Engineering role at NorthBay Solutions. Cairo · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after batch and real-time data pipelines on AWS, including ETL/ELT work with Glue and Spark on EMR
- Help coordinate workflows through Apache Airflow (MWAA) and process data without servers using AWS Lambda
- Contribute to Redshift warehouse designs and shape storage on Amazon S3 and DynamoDB
- Apply AWS DataZone governance controls, monitor platform health in CloudWatch, and troubleshoot issues
- Work with analytics, BI, data science and business teams; write clear code, review peers’ work, and follow security standards
What you bring
- You have five to seven years in data engineering or a closely related role
- You bring at least three years designing AWS data solutions hands-on
- You can work confidently with Python and advanced SQL, including query performance tuning
- You have experience with AWS data services such as Glue, EMR, Lambda and Redshift, plus the other listed tools
Who this fits
This senior, hands-on role suits someone who can build AWS data solutions and collaborate across analytics and business teams. You’ll work onsite in Cairo, Egypt.
From the employer
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
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