Sunday 6 January 2019

Job | Azure Architect[Azure Ecosystem+Hadoop Ecosystem]_Bangalore

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Naga Rekha

Recruitment Consultant
HighPoints Technologies India ...
Hyderabad / Secunderabad

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Dear DotNet Jobs,

Greetings from HighPoints...

We have an immediate requirement for one of our clients.Please check the below JD if you are interested revert with your updated resume.

Job Location: Bangalore

Azure Architect Job Description:
10+ years of experience as solution architect in DWBI, data engineering, Big data technologies
Strong experience in architecture, design and implementation of data solutions in Azure and/or other cloud platforms
Strong experience in Azure ecosystem such as HDInsight, Azure Data Factory, Azure Data Lake and SQL DW
Implementation and migration experience in Hadoop ecosystem such as Spark, Scala, Python, Hive, HDFS.
Background in building traditional data processing and reporting solutions using DW, ETL and BI tools.
Ability to independently drive consulting engagements interacting with technology and business stakeholders
Strong experience in data analysis, profiling and data modelling
Ability to independently drive solutioning covering architecture, security, performance, scalability, infrastructure etc.,
Experience consulting and implementing data governance and data quality management
Excellent presentation, written and verbal communication skills required.
Preferred: Experience in credit management (debt collection services) domain
Nice to have: Experience in analytics and ML tools such as Azure ML, R/Python or SAS
Nice to have: Experience in implementing data processing solutions in AWS

Please fill the below details:
Candidate Full Name:
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Current CTC:
Expected CTC:
Notice Period:
Current Company:
Current Location:
Joining Location:
Education Qualification:
Experience:
Relevant Exp:
D.O.B:
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Reason for change

Thanks and Regards
Rekha
HighPoints Technologies India Pvt Ltd


You are receiving this e-mail because your profile contained one or more of the following words that the recruiter searched on: " DWBI ", " data engineering ", " Big data technologies ", " Azure ecosystem ", " HDInsight ", " Azure Data Factory ", " Azure Data Lake ", " SQL DW ", " Hadoop ecosystem ", " Spark "

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