Data Engineer

Description

Job Summary: We are seeking a Senior Data Engineer with experience in designing, building, and optimizing modern data platforms to develop robust data pipelines. Key Highlights: 1. Design and construction of efficient and scalable ETL/ELT pipelines. 2. Development and implementation of cloud-based data architectures. 3. Collaboration with analytics, data science, and business teams. 4S is looking for a **Senior Data Engineer** with extensive experience in designing, building, and optimizing modern data platforms. This role will be responsible for developing robust, scalable, and reliable data pipelines, as well as defining architectures that enable efficient utilization of information for strategic decision-making. **Key Responsibilities** * Design, build, and maintain efficient and scalable data pipelines (ETL/ELT). * Develop and implement cloud-based data architectures. * Integrate multiple data sources (structured and unstructured). * Ensure data quality, integrity, and availability. * Optimize data ingestion, transformation, and storage processes. * Collaborate with analytics, data science, and business teams. * Implement data models for analytics and reporting. * Automate data flows and integration processes. * Monitor and improve data system performance. * Document processes, pipelines, and architectures. **Mandatory Technical Requirements\nLanguages \& Processing** * Python (advanced) * SQL (advanced) **Data Engineering** * Design and construction of ETL/ELT pipelines * Data modeling (Data Warehousing, Data Lakes) **Cloud \& Architecture** * Proven experience with AWS: * S3 * RDS / Aurora * Lambda * Glue * Redshift * CloudWatch * Distributed data-based architectures **Tools \& Frameworks** * Workflow orchestration (e.g., Airflow or similar) * Version control with Git Salary: $50,000\.00 \- $70,000\.00 per month Work Location: On-site employment