**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. **Requirements** **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. **Benefits** * 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