Data Engineer

Description

Summary: Expleo seeks a Data Engineer to design, develop, and maintain data pipelines and ETL processes, ensuring data integrity and consistency for data migration initiatives. Highlights: 1. Design and maintain data pipelines and ETL processes for data migration 2. Develop and optimize Python and SQL scripts for data processing 3. Collaborate on data requirements and translate into technical solutions Overview: Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future\-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast\-track innovation through each step of your value chain. We are strategically positioned to build value, with a global footprint across 30 countries. We are as global and local as you need us to be, with strong best\-in\-class pan\-European technological centres and unique best\-shoring capabilities. We leverage a network of high value\-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever\-changing environment. Responsibilities: * Design, develop, and maintain data pipelines and ETL processes to support data migration initiatives. * Participate in data migration projects, ensuring data integrity, quality, and consistency across systems. * Work with AWS\-based data environments to build scalable and reliable data solutions. * Develop and optimize Python and SQL scripts for data processing and transformation. * Integrate and manage data from financial platforms such as BlackRock Aladdin and other investment management systems. * Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and translate them into technical solutions. * Ensure high performance, reliability, and security of data workflows. * Use Docker and Git for version control and containerized environments. * Troubleshoot and resolve data\-related issues in Linux and Windows environments. * Document data architecture, pipelines, and migration processes. Essential skills: * Minimum 8 years of experience as a Data Engineer or in a similar role. * Strong experience with Python and SQL for data processing and transformation. * Hands\-on experience with AWS cloud services. * Solid knowledge of ETL development and data pipeline design. * Experience with data migration projects. * Proficiency with PostgreSQL or other relational databases. * Experience with Docker and Git. * Comfortable working in Linux and Windows environments. * Fluent English communication skills. What do I need before I apply: * The opportunity is remote but the candidate must already be living in PT.