Lead Data Engineer – AWS

Posted Yesterday
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Cairo
In-Office
Expert/Leader
Software • Database • Analytics
The Role
Lead architecture and delivery of scalable AWS data platforms, build batch and real-time ETL/ELT pipelines, implement data warehousing on Redshift, enforce governance and monitoring, optimize performance and cost, troubleshoot infrastructure, and mentor engineering teams.
Summary Generated by Built In
Lead Data Engineer – AWS

Experience: 10–12 Years
Location: Cairo, Egypt (Onsite)
Employment Type: Full-Time

Position Overview

We are seeking an experienced Lead Data Engineer with deep expertise in AWS to architect, lead, and oversee the development of enterprise-grade, scalable data platforms. The role demands strong technical leadership, solution architecture skills, and ownership of end-to-end data engineering initiatives. The candidate will mentor teams, drive best practices, and ensure secure, high-performance, and cost-optimized data solutions.

Key Responsibilities
  • Lead design and implementation of batch and real-time data pipelines on AWS
  • Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services
  • Lead workflow orchestration using Apache Airflow (MWAA)
  • Architect serverless data processing solutions with AWS Lambda
  • Design enterprise-grade data warehousing solutions using Amazon Redshift
  • Develop and enforce data storage strategies using Amazon S3 and DynamoDB
  • Implement and govern data cataloging, governance, and access control using AWS DataZone
  • Establish monitoring, logging, and observability using Amazon CloudWatch
  • Drive performance optimization, scalability, and cost efficiency
  • Troubleshoot complex data processing and infrastructure issues
  • Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams
  • Provide technical leadership, conduct code reviews, and mentor junior engineers
  • Ensure adherence to security, compliance, and data governance standards
  • Participate in architecture discussions and contribute to long-term data strategy
Required Skills & Experience
  • 10–12 years of experience in Data Engineering or related roles
  • 5+ years of hands-on experience designing enterprise-grade AWS solutions
  • Expertise 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
  • Strong understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
  • Experience designing scalable, distributed data processing systems
  • Proven experience in leading teams, mentoring engineers, and making architectural decisions
  • Experience working in Agile/Scrum delivery environments
Nice to Have
  • AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
  • Experience with real-time streaming (Kinesis, Kafka)
  • Exposure to metadata management, data lineage, and governance tools
  • Expertise in cost optimization strategies in AWS
  • Experience working with large-scale enterprise data platforms

Top Skills

Aws Glue,Amazon Emr,Spark,Aws Lambda,Apache Airflow (Mwaa),Amazon Ec2,Amazon Cloudwatch,Amazon Redshift,Amazon Dynamodb,Aws Datazone,Amazon S3,Python,Sql,Kinesis,Kafka
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The Company
Andover, MA
324 Employees
Year Founded: 2007

What We Do

NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai.

Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.

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