Note: Azure Data Engineer role is open for 6 months contract as well as 6 months contract to hire. We can do both. These are two openings and open to remote for now.  
DaytoDay Responsibilities:
Must Haves:
Plusses:
Description:
Azure ,ADF,Data Lake,Migration ,On-Prem,Remote ,Contract ,C2,Workfromome
 
 
Microsoft Sql Servers
 
Java (Programming Language)
 
.Net Framework
 
Vbscript (Visual Basic Scripting Edition)
 
C Sharp (Programming Language)
			
			DaytoDay Responsibilities:
- Support analytics teams that run reports
 - Data enrichments
 - Modernization work
 - Legacy system on prem that they are converting to Azure
 - Data ingestion using Spark/Azure Data bricks
 - Want to build one common capability across group
 - Commercial client implementation focused
 - Streaming
 - Interacting with client and requirement gathering
 - Define data flow with architecture team
 - End to end integration and implementation
 - Make robust inhouse frameworks
 
Must Haves:
- 4-5 years overall Data experience
 - 2 years with Azure Data Bricks, Data factory, storage, logic apps
 - Spark Building inhouse capabilities
 - Microservices
 - DevOps
 - Team player
 - Open minded
 
Plusses:
- Snowflake
 - Writing Azure functions
 - Kafka/Streaming knowledge
 - API
 - Worked on previous data enrichment projects/large volumes of data
 - Healthcare
 
Description:
- Experience working with large size data sets using Big Data Frameworks (i.e., Azure/Databricks/Spark/Hive, etc.)
 - Experience using Kafka, CI/CD technology, Git
 - Experience with at least one of the following cloud platforms: Azure
 - Handson experience with APIs, Micro services and Service Oriented Architecture
 - Knowledge of the Agile methodology for delivering software solutions and DevOps concepts
 - Experience with CI/CD systems such as Jenkins
 - experience with Infrastructure as Code using Terraform
 - Knowledge of Data Pipeline/workflow management tools such as Azure data factory.
 - Knowledge of Azure Synapse and/or Snowflake Cloud Datawarehouse platforms
 - Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
 - Ability to independently troubleshoot and performance tune large scale enterprise systems.
 - Ability to leverage/contribute reusable framework/code in spark.
 - Excellent verbal, written, and interpersonal communication skills with the ability to communicate technical concepts to both technical and nontechnical audiences
 
Azure ,ADF,Data Lake,Migration ,On-Prem,Remote ,Contract ,C2,Workfromome
Recommended Skills
Sql (Programming Language)Microsoft Sql Servers
Java (Programming Language)
.Net Framework
Vbscript (Visual Basic Scripting Edition)
C Sharp (Programming Language)