Senior Data Engineer

Description

Job Summary: We are seeking a Senior Data Engineer to build and evolve modern data solutions in multi-platform cloud environments. Key Highlights: 1. Building and evolving modern data solutions in cloud environments 2. Working with data architectures on AWS and GCP 3. Developing and maintaining data pipelines We are looking for a Senior Data Engineer to work with one of our clients, participating in the construction and evolution of modern data solutions in multi-platform cloud environments. We seek a candidate with experience in data engineering, pipeline development, and maintenance of scalable architectures, ensuring data quality, governance, and availability across business areas. ### **Responsibilities** * Develop and maintain data pipelines using ETL/ELT best practices; * Build, optimize, and monitor data ingestion, transformation, and delivery workflows; * Perform modeling and organization of Data Lake and Data Warehouse environments; * Work with data architectures in AWS and GCP cloud environments; * Ensure data quality, reliability, and governance; * Automate deployment and continuous integration (CI/CD) processes; * Support the definition of technical standards and data engineering best practices; * Collaborate with cross-functional teams to understand requirements and enhance solutions. ### **Requirements** * Experience in Data Engineering; * Proficiency in Python and SQL; * Experience orchestrating pipelines using Airflow; * Experience with code versioning using Git and GitHub; * Knowledge of CI/CD using GitHub Actions; * Experience with AWS services; * Experience with GCP services; * Knowledge of: Data Lake and Data Warehouse, Data architectures, Data governance and quality, Data processing and storage, Multi-cloud/multi-environment cloud environments. ### **Nice-to-Have** * Experience in modernizing data platforms; * Knowledge of observability and pipeline monitoring; * Experience with high-volume data environments; * Experience with cloud security and governance best practices. ### **Employment Type:** CLT or PJ ### **Required Skills and Knowledge:** Python, SQL, Data Engineering, Airflow, GitHub, Git, CI/CD, AWS, GCP, Data Lake, Data Warehouse ### **Benefits:** Childcare Assistance, Remote Work Allowance, Totalpass, Education Assistance, Birthday Day Off, Health Insurance, Dental Insurance, Life Insurance, Flexible Meal Voucher, Transportation Voucher ### **Department:** Growth \& Digital Strategy