Greetings!!
This is Arul from ITTStar Consulting, LLC; we are looking for Big Data QA for the below mentioned requirement. Kindly forward the resume, rate and contact details for further process.
I also kindly request you to forward this opportunity to your friends or colleagues; so that we can help someone who may be in search of a job or looking for a change.
Job Title: Big Data QA
Job Location: Atlanta, GA
Job Duration: 6+ months
Job Type: C2C
Rate: Open
Interview Mode: Zoom or Skype interview with hiring team (Technical in nature)
Skills:
Ø Testing in Complete agile environment
Ø Integration Understanding
Ø ETL
Ø Cloud Architecture
Ø Languages: Python, R, DB2
Ø Master data management experience
Ø CDM Experience
Ø Understanding of Security (desired but not required)
Ø 3rd party system integration or data source into data platform
Ø CI/CD understanding
Ø Hands-on Talend work experience (anyone with this skill will have an advantage over other candidates)
Ø Understanding of big data platforms and technologies (Hadoop, Spark, Databricks)
Ø Understanding of data visualization principles and concepts.
Ø NoSQL databases and modeling (Cassandra, HBase, MongoDB)
Ø General understanding and exposure to Azure cloud
Ø General understanding of Cloud Data Warehouse solutions (Snowflake, Azure DW)
Ø Exposure in Microsoft technologies like SSIS, SQL Server, SSRS
The key responsibilities for this role:
1. Typical QA testing on an Agile scrum team
Resource must be comfortable working in an Agile environment
2. Thought leadership
Resource should know how to figure out what should be tested, advise on gaps in testing, with a focus on data quality
Resource should have the ability to look at the architecture, the purpose, and end goal, and determine how to test, what to test, why to test
3. Ability to capture/retain knowledge for the company for long term knowledge
Consulting firm wants to be able to transition the data lake to Inspire after they leave
The resource should be interested in a long-term engagement
The resource should be interested in understanding the entire ecosystem
The resource should be prepared to document the system and have a willingness to train/mentor others about the system
The resource should have a strong conceptual understanding of enterprise data implementations both in the cloud and on prem
The resource should have a desire to become a long-term asset so that the knowledge of the system is not lost after the project ends
Regards,
Arul Antony
ITTSTAR Consulting, LLC. | WWW.ITTSTAR.COM
11175 Cicero Drive, Suite 100, Alpharetta GA - 30022
D: +1(678) 833 5219 | O: (404) 666 - 1521
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