Data Architect

Nityo Infotech  •  Minneapolis, MN and Stephen, MN

8 - 10 years experience  •  IT Consulting/Services

$90K - $100K
Posted on 12/14/17 by Rohit Sharma
Nityo Infotech
Minneapolis, MN
8 - 10 years experience
IT Consulting/Services
$90K - $100K
Posted on 12/14/17 Rohit Sharma


Hope you are doing great today !

We have very urgent Position with my client.


Position : Data Architect

Location : Eagan, MN

Interview: Phone/ Skype


Fulltime Position.


Job Description:

Roles and Responsibilities --

·        Strong Experience in Informatica Power Center, Enterprise Data House (EDW)

·        Strong experience in Data Modelling, DW Architecture , Data Analysis , Datamart Design

·        Strong experience in Data Extraction process with Informatica Power Center

·        Experience working in Agile / Scrum Development Methodologies

·        A wide variety of Data Architectureexperience – across multiple business contexts

·        Informatica EDW implementation experience in at least two project

·        Able to translate Business needs into well-defined user Stories for Development team

·        Experience in interacting with Offshore /Multiple location Development team.

·        Strong understanding of Data Integration, Data Quality, Data Architecture and Project Life Cycle phases, best practices and processes.

·        Expert data standardization and data modeling skills (i.e. conceptual, logical and physical model design)

·        Document Technical Architecture Documentation in accordance with the agreed templates.

·        Good analyzing & troubleshooting skills and make recommendations for remediation

·        Good communication skills and networking skills to interface and coordinate with technical teams both internal/external and the client teams

·        Must have excellent written and presentation skills

·        Perform data analysis and review business rules with the business stakeholders to refine requirements

·        Translate the business requirements and business rules into source to target data mappings.

·        Actively engage with the team and othertechnology groups to ensure the solution is clearly articulated

·        Knowledge of big data concepts and technologies such as Hadoop, Spark, Hive, Hbase etc.

·        Must be comfortable working with Oracle

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