*Hi,*


*Big Data Architect*

*Location: Torrance, California*



Responsibilities

'• Provide technical thought leadership on Big Data strategy, adoption,
architecture and design, as well as data engineering and modeling.

• Provide expert level guidance on Big Data best practices and standards

• Work with product owners, business SME and data ingestion and reporting
architects to identify requirements and consolidate enterprise data model
consistent with business processes

• Ensure that all measures for data quality, data governance, security and
compliance of data are adhered to

• Define and implement standards and best practices for data ingestion,
analytics, and integration

• Lead and evaluate emerging technology, industry and market trends to
assist in project development and/or operational support activities

• Prioritize and scale architecture efforts in close coordination with
business teams, Data Lake operational team, and other stakeholders



Daily Tasks Performed



'• Lead key business critical projects in the capacity of a Data Architect
and Advisor

• Review business requirements and technical design documents to develop
effective data and database solutions

• Support and Influence projects/initiatives and drive decisions related to
data acquizition, processing and utilization through Big Data Platform

• Define Data Architecture standards, best practices and participate in
governance activities during Big Data projects

• Create, maintain, and define Data Architecture artifacts based on
Enterprise Architecture requirements

• Develop and maintain technical roadmap for Enterprise Big Data Platform
for different platform capabilities

• Research, evaluate and recommend tools for Enterprise Big Data Platform



Musts

Experience with Big Data and Big Data on Cloud Master Data Management and
Data Governance

• Strong familiarity with data management, data governance, and best
practices

• Highly competent with Data Lake concept and Big Data capabilities

• Highly competent with data modeling with relational database design and
SQL

• Strong aptitude to learn business processes/products and the role of data
within business domain

• Strong understanding of NoSQL data sources, their implementation and
management

• Bachelors' or Master's degree in Computer Science or applicable field of
study

• Strong Experience in HDFS, Hive, Oozi, Yarn, Kafka

• Experience with Hadoop distributions (open source and commercial)

• Strong Experience in Java, Linux/Unix

• Experience with Scala, R, and Spark

• Experience with implementing Modern Data Warehouse / Data Lake

• Strong understanding of Advance Analytics concepts



Business Experience

5 + years experience



Wants

'• Expert level understanding of open source technologies around Hadoop
ecosystem

• Understanding of Advance Analytics concepts like Data Mining, Text
Analytics, Stream Analytics, Machine Learning, Neural Networks, etc..

• Familiarity with Analytic technologies like SPSS, SAS, Tableau or other
comparable tools

• Understanding of Big Data on Cloud

• Experience with IBM Big Insights is a plus









Sincerely,

*Vinni*

*Sr. Team Lead*

Swift Solutions Inc

*732.218.7422* (Desk)

[email protected] (Email)|www.swiftsol.com (Website)

https://www.linkedin.com/pub/vinni-s/101/59a/b93

Certified Minority Business Enterprise (MBE)



DESCLAIMER: The information contained in this email is intended only for
the person or entity to whom it is addressed and may contain confidential
or privileged material; unauthorized use of this information is prohibited.
If you have received this in error, please notify the sender and delete the
material immediately. ~~ Thank you.

-- 
You received this message because you are subscribed to the Google Groups 
"Powerbuilder Assignments" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To post to this group, send email to [email protected].
Visit this group at https://groups.google.com/group/powerbuilder-assignments.
For more options, visit https://groups.google.com/d/optout.

Reply via email to