Senior Data Engineer

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

1. Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.
2. The company will contribute up to EUR 25 per month towards staff perks
3. A company bonus scheme applicable as per bonus scheme rules
4. EUR equivalent salaries paid in EGP