Vacancy caducado!
- Work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Databricks, SQL Server and other Big Data related technologies).
- In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations.
- Must be able to analyze data and develop strategies for populating data lakes (Databrick – Delta Lake).
- Architect to manage the software development process and create an automated delivery pipeline that assists in building software more efficiently. The responsibilities of architect include assessing, supporting, and implementing high-quality information technology architecture.
- Guide the customer with the best practice and come up with solutions and road map
- Creating suitable DevOps channels across the organization.
- Facilitating the development process and operations
- Work as part of a team to develop Cloud Data and Analytics solutions
- Participate in development of cloud data warehouses, data as a service, business intelligence solutions
- Ability to provide solutions that are forward-thinking in data and analytics
- Deliver a quality product
- Coding complex U-SQL, Spark (Scala or Python). T-SQL
- Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks)
- Able to design technical solution and provide high level cost estimation along with pros and cons.
- Should have knowledge about Azure service cost calculation and projection, data security, disaster recovery etc.
- Good understand on Azure services (ADF, ADLS, Databrick, Azure Synapse) related to Data transformation and analytics)
- Good experience with ETL development using Azure Data Factory or SSIS and Azure Data Lake Analytics
- Azure Data Lake Store Expertise on Azure Active Directory RBAC policies
- Experience with Data warehousing and SSAS concepts
- Understand Dimensional Data Modelling (Star and Snowflake Schema and Multi-dimensional cubes)
- Strong knowledge of DevOps Platform tooling
- Working knowledge of automation service provisioning and middleware configuration
- Azure architecting, designing, and implementation experience including IaaS, PaaS, SaaS
- Automation experience for the deployment and configuration of Azure resources
- Experience with configuration management and automation tools such as Ansible, Jenkins, YML, Terraforms, AKS (Kubernetes), Linux
- Building and supporting mission critical systems for large enterprises
- Experience using Agile methodologies and tools
- Strong knowledge of cloud security including encryption, key management, tenant isolation, firewall, risk assessment
- Azure Synapse Analytics (Dedicated SQL Pool, ADLS Gen2, Data Flows, Data Pipelines, Notebook, Serverless SQL Pool),
- Cosmos DB, Experience creating API's and using APIM, Experience with IOT Hub and event Hub
- Exposure to Kafka and SAP
Vacancy caducado!