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 :

Benefits