Senior Data Engineer – AWS & Big Data

### **What We’re Looking For** We are seeking a Senior Data Engineer with strong expertise in AWS and Big Data environments to design and implement scalable Data Warehouse and Data Lake solutions. This role is ideal for a hands\-on professional who acts as a technical reference within Data Analytics initiatives, contributing to high standards of performance, data quality, and security across the entire data lifecycle. ### **Key Responsibilities** * Design and implement robust Data Warehouse and Data Lake architectures; * Define and develop data repository models tailored to various business needs; * Build and maintain efficient data pipelines for ingestion, transformation, and storage; * Support and influence architectural decisions across the Big Data ecosystem; * Ensure secure, reliable, and performant data processes for multiple consumers; * Identify technical risks and provide recommendations based on support team insights; * Support performance testing and optimization initiatives; * Contribute to the migration of legacy systems to modern cloud\-based solutions. ### **Required Skills \& Experience** Must\-Haves: * Hadoop, Spark (PySpark, Scala): Intermediate to advanced * Python for Data Engineering: Advanced * SQL: Advanced * Git / GitFlow workflows: Intermediate * AWS (CloudFormation, IAM, Lambda, SQS, Athena, EMR), Unix: Intermediate * DevOps/CI\-CD tools (JIRA, GitLab, GitLab CI, NEXUS, SonarQube): Basic Nice to Have: * Experience with Apache Airflow and Docker