Data Architect / Sr. Data Engineer

Atlanta, GA Atlanta GA 31156

Date : Jun-28-18

Data Architect / Sr. Data Engineer

Atlanta, GA

Jun-28-18

Work Authorization

US Citizen
GC
H1B
GC EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

DOE

Duration

:

1 Year

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Architect

Consulting / Contract

Third Party OK

Required Skills :

ETL development, data integration, SQL Server, support data marts, extracts and reporting

Preferred Skills :

services based company Domain

Domain :

IT/Software, Financial, HealthCare

Work Authorization

US Citizen
GC
GC EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

DOE

Duration

:

1 Year

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Architect

Consulting / Contract

Third Party OK

Required Skills :

ETL development, data integration, SQL Server, support data marts, extracts and reporting

Preferred Skills :

services based company Domain

Domain : IT/Software, Financial, HealthCare

Apply Now

NYTP
Rochester, NY
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Job Description :

Data Architect / Sr. Data Engineer

Mandatory: services based company Domain
TCS / CTS / Infosys / Accenture / TechMahindra / Capgemini / Wipro / Hitachi / First Data Corporation / CGI / CSC / IBM

5+ years of Data Architect / Sr. Data Engineer experience is required.
A BS or Masters degree in Computer Science or related technical discipline is required
Demonstrated experience with ETL development with data integration to support data marts, extracts and reporting
Demonstrated in depth skills with SQL Server with the ability to configure and administrate all aspects of SQL Server. Fully versed and prepared to demonstrate a technical knowledge of database administration and management.
Demonstrated experience with different data models like normalized, de-normalied, stars, and snowflake models. Worked with transactional, temporarl, time series, and structured and unstructured data.
Data Quality Management and Data Architecture standardization experience
Deep understanding of the operational dependencies of applications, networks, systems, security and policy.
Advanced study / knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies.
Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in service delivery.
Has strong technical background and remains evergreen with technology and industry developments.

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