Senior Data Engineer

Description

Job Summary: We are seeking a Data Engineer to build, maintain, and evolve data pipelines, supporting both operational demands and strategic projects. Key Highlights: 1. Evolution of data architecture and dissemination of best practices 2. Development and optimization of data pipelines with Databricks 3. Ensuring data quality, governance, and security in the cloud We are looking for a Data Engineer to build, maintain, and evolve data pipelines, supporting both operational demands and strategic projects. This person will play an active role in evolving the data architecture and disseminating best practices across the team. ### **Responsibilities** * Develop, maintain, and optimize data pipelines using **Databricks (SQL and PySpark)** * Implement **ETL/ELT** processes and integrations across multiple sources * Ensure **data quality, governance, and security** in cloud environments * Work with large volumes of data, ensuring **performance and scalability** * Support business and analytics teams in defining requirements and delivering solutions * Contribute to the evolution of the **data architecture** * Work with **CI/CD pipelines**, ensuring continuous integration and pipeline reliability ### **Requirements** * Solid experience with: **SQL (complex queries and optimization)** * **Python** * **Spark / PySpark** * **Databricks (SQL and notebooks)** * Experience developing **data pipelines and ETL/ELT processes** * Experience in **cloud environments** (AWS, Azure, or GCP) ### **Preferred Qualifications** * Experience with **AWS (S3, Glue, EMR, Lambda, etc.)** * Knowledge of **CI/CD** applied to data (DataOps) * Experience with **workflow orchestration tools** (e.g., Airflow) * Familiarity with **data modeling** (Data Lake / Data Warehouse) * Experience with **pipeline monitoring and observability** ### **Required Knowledge and Skills:** SQL, Python, Spark/PySpark, Databricks, Data Integration, ETL, AWS, DevOps, CI/CD, Workflow Orchestration, Data Lake, Data Warehouse, Pipeline Monitoring and Observability ### **Benefits:** Childcare Assistance, Remote Work Allowance, Totalpass, Study Assistance, Birthday Day Off, Health Insurance, Dental Insurance, Life Insurance, Flexible Meal Voucher, Transportation Voucher ### **Department:** Growth \& Digital Strategy