Senior Data Engineer
- Mondia Group
- Cairo, Cairo Governorate, Egypt
- Full-time
وصف الوظيفة
Job Purpose
Drive the design deployment and optimization of data pipelines to handle a wide variety of structured and unstructured data sources with exposure to latest data platform technologies on the AWS Eco-System. Implement data ingestion, continuous integration, monitoring & orchestration on cloud for Mondia business entity.
Roles and Responsibilities
· Engage in collaboration with a cross-functional team of data scientists, data engineers, software developers, and other key stakeholders who work within an agile environment to create data products and enrich Mondia´s data ecosystem.
· Assist the team in the successful execution, performance optimization of the cloud data warehouse & cost estimation of serverless cloud components.
· Design, construct, install and maintain data management systems using Spark/PySpark, AWS Glue, Dataflow, or similar cloud ETL Tools.
· Execute Data orchestration, Workflows & ETL Scheduling Tools like Apache Airflow, luigi & step functions.
· Recommend different ways to constantly improve data reliability and quality.
· Employ an array of technological languages and tools to connect systems together.
· Recommend different ways to constantly improve data reliability and quality.
· Communicate clearly results & ideas within the team.
· Communicate effectively to all levels of the organization.
· Comply with Mondia policies and procedures and support Mondia mission and vision.
· Perform other job-related duties as assigned by direct manager.
إمتيازات الوظيفة
- Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.
- The company will contribute up to EUR 25 per month towards staff perks
- A company bonus scheme applicable as per bonus scheme rules
- EUR equivalent salaries paid in EGP
متطلبات الوظيفة
Behavioral Skills:
Accountability and Ownership
Communication
Analytical Thinking
Attention to Details
Result Focus (Delivering Results)
Problem Solving
Relationship Building
Organizational Commitment
Technical Competencies/Skills
· Hands-on experience with Glue, Lambda, Step Functions, Redshift, DynamoDB, CloudWatch, and IAM; strong understanding of data lakes, warehouses, and cloud-native architecture on AWS
· Proficient in building and managing ETL pipelines using Airflow, deploying scalable data services on EC2 and ECS, and leveraging serverless architectures
· Advanced proficiency in Python, with solid skills in SQL and Shell scripting for automation, data transformation, and workflow management
· Fluent in English with excellent reporting skills; proven ability to track analytics, monitor KPIs, and translate data into actionable insights
Job Requirements
Education
Bachelor’s degree in Computer Science/Engineering or Statistics.
Experience
+3 years of professional experience in Data Engineering or Data Warehousing with an integrative perspective, from management to operations involvement and hands-on experience with cloud architecture and cloud technologies such as AWS, Azure or Google Cloud Platform GCP.
