Data Platform Engineer

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Requirements:

• Experience in Data Engineering (Data Pipelines, ETL, Data Quality, OLAP, Big data frameworks)
• Experience in Infrastructure and DevOps (Cloud infrastructure, Terraform, k8s, Docker, Prometheus)
• Experience in Analytics Engineering (Data Modelling, Data warehouses, Workflow Managers)
• Experience in Backend Engineering (API, Micro-services, OLTP storages, Stream processing)
• Experience with Continuous Integration Tools (Gitlab Ci, Teamcity, Jenkins)
• Experience with Python, SQL

Responsibilities:

• Develop and manage robust data pipelines, ensuring high data quality
• Develop and own the data Infrastructure using IaC and DevOps practices
• Develop and own the data lakehouse system through effective data modeling and data governance
• Develop and maintain real-time data applications (microservices and stream processing systems)
• Develop and maintain CI/CD pipelines for streamlining code integration, testing, and deployment