Hi ,


I hope you are doing well. I do have new requirement please gothrough it if
you are comfortable send me updated resumes at [email protected]
<[email protected]>

Job Title: SAP Data Architect

Location: The Woodlands TX

Duration: 12+ Months

Interview- phone hire

JOB DESCRIPTION:

Data Design Lead in its Data and Analytics team. The team works closely
with the business to proactively develop solutions, deliver training, and
understand the current and future technologies needed to understand data.

*Work environment:* The work environment is fast paced and dynamic.
Individuals will be handling multiple activities in a team as well as
individual contributor environment.

RESPONSIBILITIES:

·         Primary functions: data architecture, data development and
design, data quality management, reference and master data management, data
integration, data governance

·         Primary Deliverables: Data architecture, data workflow logical
models, physical source data models, data profiling reports and data
audits, data definitions, data taxonomy, data metrics, meta-data, data
lineage, data cleansing services

·         Activities: data modeling, data audit, detailed data design,
define rules, establish master data solutions, define hierarchies and
affiliations, distribute reference and master data, profile|analyze|assess
data quality, design data quality management procedures, clean and correct
data quality defects, establish data governance

REQUIRED SKILLS:

·         10+ years of experience

·         Oil&Gas background is desired

·         Expert in data architecture, data workflow logical models,
physical source data models, data profiling reports and data audits, data
definitions, data taxonomy, data metrics, meta-data, data lineage, data
cleansing services

·         Expert in data modeling, data audit, detailed data design, define
rules, establish master data solutions, define hierarchies and
affiliations, etc

·         Must have a solid working knowledge of ETL and SAP

·         A minimum of 5 years’ experience in SAP Data Management and
Governance, SAP Data Services (Data Extract, Data Profiling, de-duplication)

·         Advanced competency in TOAD for Oracle, SQL Server Database, SAP
HANA, R Programming and Tableau

·         Must have Comprehension of DevOps and Agile development and
application to data centric architecture and solutions

·         Demonstrate critical thinking, analytical skills, and employ
judgment to offer thoughtful, concise input toward resolutions of problems.

·         Be able to translate data requirements into business processes
and reverse engineer business processes into data requirements

·         Strong communication and interpersonal skills with strong English
proficiency

·         Leadership skills needed to successfully promote ideas,
coordinate work activities, and plan deliverables within a project team.

·         Minimum Bachelor’s Degree in Engineering Technology, Computer
Science, or closely related field.

·         Advanced expert database handling languages (SQL and variants)

·         Expert in data modeling (physical and logical), ER diagrams, data
dictionary, data map, normalize/denormalize, agile data modeling

·         Expert in data manipulation tools such as: SSMS, SSIS, TOAD,
Access, Excel, Info Steward, Data Services

·         Practical skill sets in BI and Data visualization tools

·         Knowledge of other programming languages and ability to write
code (i.e. VBA, python, XML)

·         Basic Project Management and Business Process modeling


Thanks & Regards,

Soni

Technical Recruiter

Nityo Infotech Corp.

666 Plainsboro Road, Suite 1285 Plainsboro, NJ 08536

*Email : *[email protected] <[email protected]>

Phone: 609-378-1165

*http://www.nityo.com* <http://www.nityo.com/>



USA | Canada | India | Singapore | Malaysia | Indonesia | Philippines |
Thailand  | UK | Australia / Zealand

__________________________________________________________________________________________

Nityo Infotech has been rated as One of the top 500 Fastest growing
companies by INC 500

__________________________________________________________________________________________

Disclaimer: *http://www.nityo.com/Email_Disclaimer.html*
<http://www.nityo.com/Email_Disclaimer.html>

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