SQL Server Developer with Azure Cloud at Princeton, NJ
Job Title: SQL Server Developer with Azure Cloud Location: Princeton, NJ - Onsite Duration: Long termJob Description:
At least having 10 + Years of IT and min At least having 8+ years of Strong Experience in T-SQL, Creating Table, Stored procedure, View, Function, Data Modelling, Database Design, SQL performance tuning and ETL on SQL Server/ Azure SQL databases. Min 3 Years working Experience on Azure cloud PAAS implementations (ADF, ADLS, Logic Apps, Azure Functions, Azure HDInsight, Azure Devops/repo/CICD/ Boards)
Experience working on Sql server Analysis Services SSAS Tabular model
At least 1 year experience working on SAP: Business Object Data Services (BODS)
At least having 1+ years of Hands-on experience in PowerBI. Designing and building reports with advance charts and graphs. User mapping and security setup in PowerBI. Analyze data, hierarchies, groups, trends etc.
ITIL/ ITSM/ Support process knowledge
Familiarity with SSIS or Informatica experience
Analyze source data, understand relationships, hierarchies, groups, trends etc.
Good Exposure to ETL Concepts & Designing Sematic Layer based on Requirements
Provide guidance in designing dashboards, reports, data load procedures (ETL Scripts)
Recommend and establish standards to be adopted for organization for data integration, processing, and visualization.
Strong understanding of data engineering and data ingestion technologies
Collaborate with stakeholders / business unit representatives on data initiatives
Review and provide feedback and recommendations for data models at conceptual, logical, and physical levels.
Strong leadership skills with the ability to adapt to challenges and to mentor team members
Must have good analytical and communication skills
Provide the hands-on technical leadership to drive the team to innovate and deliver initiative on time.
Lead in data governance, master data management initiatives
Provide support in other areas beyond data architecture on an ad-hoc basis where required.
knowledge of Python, Scala and other Big Data technologies are added advantage.