Job Description :
Role: Azure Cloud Data Engineer
Location: Franklin, Tennessee
Interview Mode: Telephonic / Skype
Duration: 6+ Months
Job Description: Microsoft Azure Cloud Data Engineer (Ingestion / Lake / Compute / Consume)
Minimum of 8+ years of in-depth experience in Data Lifecycle Management, solutions design, and delivery of enterprise level database solutions using open source Big-Data technologies.
Must have delivered at least one enterprise level Data Management Solution using Azure Data Factory, Azure Data Lake, SPARK-HD Insight for Compute, Power BI and Tabular Model for consumption.
Minimum of 1-2 Years of Experience working on Azure Stack of technologies like ADF, ADLS, Azure Active Directory, Azure Functions, Logic Apps, Azure Data Warehouse, Power BI.
Skills Required/Preferred
Must have experience in building data pipelines from ingestion to consumption within a big data architecture, using Azure Services (ADF) , SPARK, Python or Scala, USQL.
Experience in building CDC ( Change Data Capture) against various sources of data like SQL Server, Oracle, EDI.
Data Transformation /Curation experience using SPARK, Azure Functions, Workflow.
Work and implement Azure Cosmos DB, Spark and ADLS Solutions
Experience with data architecture standards design and implementation (including strategy, user experience, performance, controls, as well as stability, innovation, and enterprise security requirements
Provide guidance around database design for migration from on premises to Azure
Create and provide solutions for deployment into identified environments.
Strong understanding of master data and metadata management and demonstrated experience and knowledge of multi-tier architectures.
Experience with Data Warehousing, Data Management and Master Data Management related technologies.
Proven expertise in managing the delivery of mid-to-large web/enterprise applications needed.
Strong experience delivering analytic and reporting solutions to meet business needs is a plus
Technical experience in Microsoft .NET application development is a plus.
Strong experience with SQL Server, SSRS, SSIS, SQL DW.
Experience with data visualizations tools like SSRS, PowerBI & Tableau.
Experience architecting and building data marts, warehouses, etc.
Experience working with different query languages (i.e. PL-SQL, T-SQL
Strong knowledge and understanding of SQL development techniques and complementary business layer and front-end technologies.
Strong experience with Azure PaaS services; understands leading practices and adoption patterns.
Experience in Azure Big Data Technologies like Azure Data Lake, HDInsights etc.
Strong experience in data modeling techniques and knowledge and applicability of various normal forms.
Ability to drive teams to meet consensus and have vivid passion for applications delivery.
Ability to identify and communicate issues/risks applying technical and root cause analysis skills.
Self-motivated and pro-active technical leader with strong decision making, problem solving and analytical skills.
Agile development environment especially SCRUM using Microsoft VSTS.
Required Experience, Skills and Qualifications
Preferred:
Experience in leading architecture activities like designing, roadmap, & proof-of-concepts.
Prior experience with MongoDB, Cosmos DB, PostgreSQL, Oracle etc.
Messaging architectures SOAP and REST with JSON text encoding.
Messaging architectures SOAP and REST with JSON text encoding.
Usage of automated build and/or unit testing and integration systems