Senior ETL Engineer

<h3>📋 Description</h3> • Develop and enhance ETL pipelines as part of our Connected Platform initiative. • Maintain and support existing RESTful reporting APIs. • Automate and optimize data processing workflows for improved performance and scalability. • Participate in the full software development lifecycle using Agile methodologies, including sprint planning, stand-ups, TDD, and code reviews. • Collaborate closely with cross-functional teams, including Software Engineers, Data Engineers, QA, and Business stakeholders. • Write clean, maintainable, and efficient code following best practices. • Ensure performance, quality, and responsiveness of applications. • Participate in on-call rotations to support critical systems. <h3>🎯 Requirements</h3> • Great English proficiency (B2+ Written and spoken) • Impeccable punctuality (schedules are flexible but being in time for meetings is crucial) • 5+ years of experience in data development, with a strong focus on building ETL processes. • 3+ years of experience creating data services in cloud environments. • 3+ years of scripting experience in Python, Perl, or Shell in a Linux environment. • Proven experience with SQL and relational databases such as MySQL or PostgreSQL. • Strong understanding of data serialization formats (JSON, Avro, Parquet). • Experience working with large, regulated datasets. • Proficiency in RESTful API development and source control systems like GIT or SVN. • Agile development experience with proactive planning and communication skills. • Impeccable punctuality and commitment to team collaboration. • Bachelor's degree in Computer Science, Engineering, Physics, or a related field. • Nice to have • Experience in Financial Services or Identity Protection Services. • Familiarity with workflow automation tools like AWS CodeBuild and GitHub Actions. • Knowledge of containerization tools such as Docker and Kubernetes. • Hands-on experience with BI and visualization tools like Tableau, Power BI, or SAP BusinessObjects. • Understanding of machine learning and data science fundamentals.