Senior Data Quality Assurance Engineer (Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop) in Charlotte, NC

Senior Data Quality Assurance Engineer (Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop) in Charlotte, NC

Data Delivery, data quality, Data Quality Assurance Engineer, Data Strategies, Hadoop, Informatica, Jenkins, QlikView, Quality Center, Tableau

Location: North Carolina

Job Function: Data Quality Assurance Engineer

Date Of Job Posting: 01-03-2019

Senior Data Quality Assurance Engineer (Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop) in Charlotte, NC

Position: Senior Data Quality Assurance Engineer (Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop) 

Location: Charlotte, NC

Duration: Full-Time Permanent position (no contracts, no corp to corp, no remote)

Salary: Excellent Compensation with benefits + bonus

SKILLS: Senior Data Quality Assurance Engineer, Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop, Data Quality Testing, ETL Testing, ETL tools, Oracle, SQL Server, SOAP UI, Jenkins, AntHill Pro, Bamboo, Quality Center, Agile Central (Rally), Scoop, Hive, Pig, NoSQL

DESCRIPTION:

For our prestigious client, we are aggressively searching for a Senior Data Quality Assurance Engineer.

CORE RESPONSIBILITIES:

As a Senior Data Quality Assurance Engineer, your core responsibilities will include:

-Outline and execute the strategy for Enterprise Data - functional, automation, SOA, API and data quality testing

-Design, implement, maintain, enhance or build ETL based test frameworks

-Leverage your development capabilities using various tools such as Informatica, B2B, PL/SQL, Hadoop to build data assets that enable business value generation

-Act as a point of contact with our vendors to troubleshoot and resolve issues as required.

-Provide IT and business partner consultation on using the Hadoop based testing platform effectively

-Actively participate in our daily scrums to help establish a Test Driven Development / Behavior driven development approach

-Implement and analyze regression reports, code quality, automated builds and KPI’s

-Measure quality from the perspective of end users and downstream dependencies

-Ensure the QA and application platform performs and scales appropriately

-Be part of a Scrum Team – driving work independently or collaboratively towards achieving business outcome

EXPERIENCE and QUALIFICATIONS:

EXPERIENCE REQUIRED IN THE FOLLOWING TECHNOLOGIES:  

--Informatica

--Databases: Oracle and SQL Server

--Tableau and/or QlikView

--SOAP UI

--Jenkins or AntHill Pro or Bamboo

--Quality Center or Agile Central (Rally) 

WILLINGNESS TO LEARN SOME OF THE FOLLOWING TECHNOLOGIES:

--JAVA | Python | Groovy

--Hadoop

--NOSql Databases - Hive| mongoDB | Hbase

--SonarQube

--Selenium | UFT

--Appium | Perfecto | Mobile Labs

--Delphix

ADDITIONAL REQUIRED EXPERIENCE:

-5-8 years of experience in being a data lead with over 3 years of hands on experience in building ETL based testing frameworks with Informatica and developing E2E data strategies

-Experience or a high level understanding of Big Data technologies on a Hadoop platform (e.g. Informatica, Scoop, Hive, Pig, NoSQL)

-Deep experience required in using data quality reporting using tools such as Tableau or Qlikview

-Preferred experience in collaborating across multiple teams Offshore and Onshore

-Desire candidates with prior Data Engineer competencies and prior experience with successful enablement of Data Delivery initiatives

-Excellent verbal and written communication skills and ability to interact effectively across all levels

-BS in Computer Science or technical degree

OUR IDEAL CANDIDATE will have the following:

-Strong ETL experience in testing data using Informatica, and if does not have Hadoop, willingness to learn.

-Experience in working with Oracle / SQL databases.

-Strong communication skills both written and verbal.

-Agile work experience, we have gone to agile in data.

-Ability to partner with team, working scrum teams, and others across Quality Assurance

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