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  • ID
    #44140368
  • Job type
    Contract
  • Salary
    Depends on Experience
  • Source
    Atika Tech
  • Date
    2022-07-15
  • Deadline
    2022-09-13

Vacancy expired!

Title : SQL server developer with Azure cloudLocation : princeton, NJ( Onsite from Day 1)Duration : Long termJob DescriptionAt 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 modelAt 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 knowledgeFamiliarity with SSIS or Informatica experienceAnalyze source data, understand relationships, hierarchies, groups, trends etc.Good Exposure to ETL Concepts & Designing Sematic Layer based on RequirementsProvide 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 technologiesCollaborate with stakeholders / business unit representatives on data initiativesReview 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 membersMust have good analytical and communication skillsProvide the hands-on technical leadership to drive the team to innovate and deliver initiative on time.Lead in data governance, master data management initiativesProvide 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.

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