Data Engineer (Architect)
# Data Engineer (Architect) **George Bernard Consulting** · Sri Lanka · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Data-Architect]` `[Azure-Data-Engineer]` `[Databricks-Engineer]` `[Big-Data-Engineer]` `[Data-Infrastructure-Architect]` `[Data-Infrastructure-Engineer]` `[Data-Engineering-and-Architecture]` `[Data-Systems-Architect]` `[Data-Architecture-and-Engineering]` `[Senior-Data-Architect]` --- ### About the Role Job Description - Architect, administer, and optimize Databricks workspaces, clusters, jobs, and workflows. - Design and develop scalable Azure-based data engineering solutions, including Data Lake, Data Factory, Synapse, Key Vault, etc. - Build high-performance data pipelines using Python and PySpark. - Work with Hadoop-based platforms and distributed storage systems. - Implement and manage real-time data streaming solutions and ingestion pipelines. - Ensure proper configuration, monitoring, governance, and performance tuning of data platforms. - Integrate CI/CD pipelines on Azure and work with containerization technologies (Docker/K8s). - Develop and optimize SQL queries, stored procedures, and data models using MS SQL. - Collaborate with architects, data scientists, and engineering teams to deliver enterprise-grade solutions. - Define best practices, coding standards, and data engineering frameworks across the organization. - Troubleshoot complex data issues and ensure high availability of mission-critical data systems. Requirements - Minimum 10+ years of total IT experience. - Minimum 6+ years strong experience in the following areas: Databricks Administration , Azure Cloud , Python & PySpark , Hadoop ecosystem , Data streaming & data pipeline engineering , MS SQL - Proven experience architecting large-scale distributed data systems. - Strong understanding of data lakes, data warehousing, and big data architecture patterns. Nice-to-Have Skills - Experience with Apache Spark optimization and tuning. - Hands-on experience with CI/CD pipelines on Azure (GitHub Actions, Azure DevOps, etc.). - Knowledge of containers (Docker, Kubernetes). - Understanding of MLOps or advanced analytics integrations. Originally posted on Himalayas
- Data-Engineer
- Data-Architect
- Azure-Data-Engineer
- Databricks-Engineer
- Big-Data-Engineer
- Data-Infrastructure-Architect
- Data-Infrastructure-Engineer
- Data-Engineering-and-Architecture
- Data-Systems-Architect
- Data-Architecture-and-Engineering
- Senior-Data-Architect
Наблюдалась 2026-10-04, впервые 2026-10-03, источник — Himalayas (JSON API).