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Keywords / Skills : Data Architect, Agile methodologies, Data migration, Data warehousing, Microsoft BI stack

Posted: 2019-07-18

IT/Computers - Software
Software Engineer/ Programmer
Database Architect/ Designer
Posted On
18th Jul 2019
Job Ref code
Job Description

Degree Bachelors in Computer Science or related field

Job Description:

Job Overview:
The Data Architect will develop a detailed knowledge of the underlying data and data products and become the subject matter expert on content, current and potential future uses of data, and the quality and interrelationship between core elements of the data repository and data products. He will consult with information technology, data analytics, product creation and development staff to design and implement scripts, programs, databases, software components and analyses that will support product quality and an in depth understanding of potential uses of the data. Has business responsibility for determining the information the enterprise will capture, retain and exploit.

Key Responsibilities:
  • Experience implementing solutions with Agile methodologies
  • Solid experience in Data migration and integration
  • Data warehousing and BI domain experience
  • Expert level knowledge required in architecting, planning, testing and deploying analytics solutions including the following:
  • Demonstrated experience at presenting complex development topics to both executive and technical personnel
  • Ability to present architectural differences between solution methods and the challenges and approaches to integrating solutions built on different platforms including a working knowledge of different architectural frameworks that may be used
  • Working knowledge of specialized tools and solution providers
  • Knowledge of full application life cycle design tools and methodologies
  • Large enterprise or commercial deployment experience in complex heterogeneous environments
  • Data Architect should have deep technical skills that include:
  • End-to-end Microsoft BI stack: SQL Server, SQL Azure, SSIS, SSAS, SSRS, HD Insight, Stream Insight, SharePoint BI, PowerPivot, PowerView, Excel
  • Big Data stack: MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume
  • ETL technologies: SSIS, Talend, Pentaho, Informatica, etc
  • DBMS: Relational (SQL Server, incl. T-SQL, Scripting, etc), columnar (RedShift, Vertica), noSQL (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores)
  • Analytical tools, languages, or libraries: SAS, SPSS, R, Mahout)
  • High-scale or distributed RDBMS (PDW, RedShift, Teradata, Netezza, Greenplum, Aster Data, Vertica)
  • Development environments: Visual Studio
  • Operating Systems: Windows Azure, AWS, Windows Server, Linux
  • Knowledge of cloud computing infrastructure (e.g. Azure, Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
  • Ability to learn and apply new technologies and programming languages as required

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