Job Description :
Hi,

Kindly find the below mentioned JD.

Position : Big Data Tester
Location : Washington, DC
Duration : 12+ Months


MOI : Phone/Skype


MUST HAVE: STRONG AUTOMATED TESTING, HADOOP/HIVE/BIG DATA, ORACLE TESTING EXPERIENCE, DATA TRANSFORMATION, FUNCTIONAL TESTING, FINANCIAL SERVICES

Key is Oracle and Hive Data comparisons is MANDATORY!



OVERVIEW:

SDET Big Data Tester Washington, DC metro area for a large financial services client, we are seeking SDET Big Data Tester, to work on a 1 year or longer project to re-platform a major system. Prefer candidates who can both automate tests and construct good test scenario data sets, across the full test life cycle.


RESPONSIBILITIES:

Write and execute System and User Acceptance strategies, plans and scripts for the migration of a relational data warehouse that is being retired.
Create appropriate test scenarios and data sets.
Work with lines of business, technology, and operations to determine priorities, and schedule of releases.
Document test procedures, and issues.
Support testing AND automation of testing for a range of projects from defect fixes and enhancements to strategic initiatives.
Log bugs and enhancements into the defect tracking and planning tool.
Escalate key testing issues and provide feedback to the stakeholders.
Ensure that all requirements are covered in the testing, that it is completed within established time and that objectives conform to the user requirements and line of business.
Provide input and shape SIT & UAT processes in line with industry best practices.


QUALIFICATIONS:

Bachelor’s degree in computer science or related field.
3+ years of direct functional testing experience, working with Big Data testing (nice to have Hadoop, Neteeza, and/or GreenThumb
Must have statistical calculation testing experience.
Strong experience with data transformation.
Must have Java test automation.
Need Hadoop, Automation Testing, RDBMS skills.
Prefer experience with test automation, including the Cucumber automated acceptance test software.
Deep expertise in test methodology, process, planning, and execution.
Financial services experience with SAS tools and JAVA.
Experience with Oracle, and querying in SQL and Hive.
Prefer experience with financial data/systems, particularly with mortgage and/or loan-level data.