Senior Data Engineer

Required skills

Strong experience building scalable cloud-native data platforms and pipelines, Advanced knowledge of modern data lake/lakehouse practices, Hands-on experience with distributed processing (Spark/PySpark or equivalent), Experience with streaming or event-driven ingestion patterns, Python with solid engineering principles (OOP, testing), Strong expertise in relational databases and schema design, Advanced query optimization and performance troubleshooting, Experience executing large-scale migrations and modernization efforts, Knowledge of HA/DR patterns, security, and cost optimization, Automation and scripting for migration workflows, Infrastructure-as-code and CI/CD integration, Cloud security fundamentals, Cost-aware design, 4+ years RDBMS or data engineering experience, 2+ years of AWS-based implementations, Upper-Intermediate English (minimum B2). Responsibilities: Deliver complex data platform components or migration solutions independently, Troubleshoot performance, scalability, and reliability issues, Contribute to solution design and engineering standards, Communicate technical topics clearly to peers and stakeholders, Produce high-quality documentation and implementation reviews. Seniority: Senior. Domain: Data engineering, cloud computing, AWS.