Data Engineer

Nam Info Inc

San Jose, California, United States

Posted 8 months, 5 days ago

Job Details

Description :

Hi,

Hope you are doing well.

I have a suitable requirement for you with one of our Clients, Please find the Details below. If you are comfortable with this requirement revert me back with your updated resume –lavanya@nam-it.com.

 

Job Title: Data Engineer

Location: San Jose, CA

Duration: Longterm

 

Mandate Skillset: We need Strong Data Engineer with Oracle/DW/RDMS background.

 

Job Description:

Senior data engineer who can work independently

Who can understand the existing data structure and bring sanity, structural changes and best practices

Experience in Oracle technologies – RDBMS, Data Warehouse, etc

Who can work across the tool and tell Cisco what would be the going forward data model or structure

Understanding of what and how technology like snow-flakes, HANA, Hadoop and Mongo do - but someone who has experience in managing huge amount of data

Good communication skills - he will be working with the business team and should be knowledgably on data engineering related topics

 

Thanks & Regards,

Lavanya

Recruitment – Team

Nam Info Inc

+1732-993-7987 (Direct)

+1 732-568-7770 (Fax)

Email – lavanya@nam-it.com   

Website - www.nam-it.com

2525 US Highway 130, BLDG D, Suite 2

Cranbury, NJ 08512

USA | CANADA | INDIA

MBE Certified Company , E Verify Company

 

Requirements :

Job Title: Data Engineer

Location: San Jose, CA

Duration: Longterm

 

Mandate Skillset: Need hands-on experience with Oracle PL/SQL + ETL and Java / Scala.

 

Job Description:

•             Strong PL/SQL, SQL  and Java/Scala  skillset with good ETL hands-on experience

•             Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

•             Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

•             Strong analytic skills related to working with unstructured datasets.

•             Build processes supporting data transformation, data structures, metadata, dependency and workload management.

•             A successful history of manipulating, processing and extracting value from large disconnected datasets.

•             Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

•             Strong project management and organizational skills.

•             Experience supporting and working with cross-functional teams in a dynamic environment.

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Salary up to

USD 60/month CTC (Cost to Company)

Job Type

Contract

Experience

5-10 Years

Industry

Others

Job Category

Engineering

Data Ware Housing, ORacle, RDBMS, PL SQL

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