05 Aug
Azure Data Engineer - SAP
Vacancy expired!
- Architects, designs, implements and maintains reliable and scalable data infrastructure
- Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data
- Design, develop, and deliver large-scale data ingestion, data processing, and data transformation projects on Azure
- Mentor and share knowledge with customers as well as provide architecture reviews, discussions, and prototypes
- Work with customers to deploy, manage, and audit best practices for cloud products
- Adheres to and advocates for software engineering best practices (e.g. technical design and review, unit testing, monitoring, alerting, checking in code, code review, documentation)
- Deploy secure and well-tested software that meets privacy and compliance requirements; develops, maintains and improves CI / CD pipeline
- Service reliability and following site-reliability engineering best practices: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Design, build, deploy and maintain infrastructure as code. Containerizes server deployments
- Actively contributes to improve developer velocity
- Work closely with other data engineers, software engineers, data scientists, data managers and business partners
- Deep and hands-on experience (typically 5+ years) designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
- Hands on experience with:
- Databricks and using Spark for data processing
- Configuring Delta Lake on Azure Databricks
- Python, Scala, SQL
- C#, ASP.NET, MVC, .NET Core, .Net Framework (4.6) JSON, and API development (optional)
- Azure Data Factory
- Azure Data Lake, Azure SQL DB, Synapse, and Cosmos DB
- Data Management Gateway, Azure Storage Options, Stream Analytics and Event Hubs
- Designing data solutions in Azure incl. data distributions and partitions, scalability, disaster recovery and high availability
- Advanced hand-on experience with different query languages
- Experience designing and implementing large-scale distributed systems
- Deep knowledge and hands-on experience in technologies across all data lifecycle stages
- Stakeholder management and ability to lead large organizations through influence
Vacancy expired!