Azure Data DevOps Engineer
在 DIGITALL,我们不仅提供技术，我们也为未来服务！我们是探索者，知识猎人，科技士，问题解决者和游戏变革者，希望获得启发和灵感。我们的 DIGITAL 员工总是向前迈出一步：与顶级技术合作，创新先于市场趋势，分享寻找更好的方法的热情。作为一个以人类为中心的组织，我们的团队建立在相互尊重和开放的沟通基础上，让每个人都能够真实地表达想法并释放自己的潜力。我们自豪的是我们的 DIGITAALL 聪明头脑，永远不会停止发展他们的技能来不断推进边界，做我们喜欢的事情。迪吉塔尔在全球范围内运营，拥有8个国家的16个地点1000名专家的团队。这是你的工作：·云平台和架构：设计，建立和支持混合云和本地数据解决方案，重点放在 Azure 服务上，包括数据，身份，网络，安全和分析服务。· 数据湖泊实施：使用 Databricks 和 Unit Catalog 实用设计，管理和执行，管理笔记本书籍，工作空间配置，工作负载隔离和成本优化。广泛使用 Delta,冰 berg 和 UniForm 等开放存储格式进行工作。·数据建模：设计，审查和维护在铜，银和金层内的数据模型，包括服务层的尺寸模型。指导和咨询域团队对谷物，合规性，性能和可重复使用性。· ETL/ELT 管道开发：利用 Azure Data Factory,Databricks 等数据工厂，转型和配套过程的设计，实施和优化；· 数据集成与虚拟化：处理 API 集成，事件驱动和批量模式，消息排行以及查询联合和语义层技术 （例如 Dremio）. · 数据库和基础设施运营：处理结构化，半结构化和非结构化的数据。管理平台操作，包括监控，记录，警报，性能调整，能力规划，运行书籍以及在 Linux 或 Windows 上 Azure VM 管理。· DevOps & Security:使用 Azure DevOps 或 GitHub 行动实现自动构建，测试和部署，源控制，文物管理，秘密管理和环境推广的 CI/CD 实践。确保数据治理，访问控制，数据质量，
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At DIGITALL we don't just deliver technology, we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries.
This is your job:
- Cloud Platform & Architecture: Design, build, and support hybrid cloud and on-premises data solutions with a strong focus on Azure services, including data, identity, network, security, and analytics services.
- Data Lakehouse Implementation: Practical design, administration, and execution using Databricks and Unity Catalog, managing notebooks, workspace configuration, workload isolation, and cost optimization. Work extensively with open storage formats such as Delta, Iceberg, and UniForm.
- Data Modeling: Design, review, and maintain data models across Bronze, Silver, and Gold layers, including dimensional models for the serving layer. Guide and advise domain teams on grain, conformance, performance, and reusability.
- ETL/ELT Pipeline Development: Expertise in designing, implementing, and optimizing data ingestion, transformation, and orchestration processes utilizing Azure Data Factory, Databricks, and dbt.
- Data Integration & Virtualization: Handle API integrations, event-driven and batch patterns, message queues, as well as query federation and semantic layer technologies (e.g., Dremio).
- Database & Infrastructure Operations: Work with relational databases (preferably PostgreSQL) managing structured, semi-structured, and unstructured data. Manage platform operations, including monitoring, logging, alerting, performance tuning, capacity planning, runbooks, and Azure VM management on Linux or Windows.
- DevOps & Security: Apply CI/CD practices using Azure DevOps or GitHub Actions for automated build, test, and deployment, source control, artifact management, secrets management, and environment promotion. Ensure data governance, access control, data quality, lineage, and compliance.
Your qualifications:
- Cloud & Lakehouse: Strong understanding of Azure cloud services, Databricks, Unity Catalog, and open table formats (Delta, Iceberg, UniForm).
- Data Engineering & Modeling: Proven track record in data modeling across Bronze/Silver/Gold layers, dimensional modeling, and building ETL/ELT pipelines using Azure Data Factory, Databricks, and dbt.
- Programming & Databases: Proficiency in Python and SQL (Scala or Java is a plus). Hands-on experience with PostgreSQL and diverse data types (structured, semi-structured, unstructured).
- DevOps & Operations: Hands-on experience with Azure DevOps or GitHub Actions, secrets management, CI/CD, as well as platform operations (Azure VMs on Windows/Linux, monitoring, performance tuning).
- Integration & BI Awareness: Knowledge of API/event-driven integrations, query federation tools (e.g., Dremio), BI concepts/tools (Power BI, Tableau), and Microsoft Fabric (OneLake, Lakehouse/Warehouse items, Power BI semantic layer).
- Governance: Solid knowledge of data governance principles, data quality management, metadata, and access control/lineage.
- Strong communication skills in English (written and oral).
- Ability to effectively apply creative and practical problem-solving skills on a regular basis.
- Certification in ITIL V3/V4 Foundation or SAFe v6 is a plus.
Organizational information:
- All applications will be treated in strict confidentiality
- Please note that only shortlisted candidates will be invited to an interview
Originally posted on Himalayas