ETL Tester

Hybrid in Quincy, MA, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
50% Travel Required
Hybrid
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ETL testing
  • Gen AI
  • prompt engineering
  • RAG
  • Software testing life cycle

Summary


Role: ETL and AI Testing and Quality Assurance Specialist

Location: North Quincy, MA, USA


Required Experience and Technical Skills
• At least 7+ years of experience in ETL testing and automation development,
including a minimum of 2 years of experience applying AI to quality assurance use
cases.
• Excellent understanding and hands-on experience with Python, PySpark
automation, and Databricks, including analytical functions and complex SQL
queries.
• Working knowledge of Model Context Protocol (MCP), agentic AI agents, multi-agent
systems, retrieval-augmented generation (RAG), prompt engineering, and regression
testing for AI systems.
• Strong knowledge of the Software Testing Life Cycle (STLC), including the creation,
maintenance, and execution of automation and functional test plans.
• Experience writing test scripts for software platforms, communicating test results,
tracking defects, and participating in day-to-day QA activities.
• Knowledge of test methodologies and experience with associated tools, including
JIRA, Xray, and Confluence.
• Good understanding of Agile methodologies and Agile ceremonies.


Domain and Business Knowledge
• Business analysis experience is an advantage, particularly for performing Business
User Acceptance (BUA) testing.
• Experience in the financial services domain is highly desirable.
• Knowledge of Anti-Money Laundering (AML) processes and related business
requirements is preferred.
Collaboration and Professional Competencies
• Ability to work effectively with geographically distributed teams while maintaining
high standards of collaboration and communication across QA, development, and
business teams.
• A team-oriented attitude with a willingness to collaborate and contribute to shared
goals.
• Excellent verbal and written communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91089021
  • Position Id: 9098322
  • Posted 4 hours ago

Company Info

About DATAECONOMY

DATAECONOMY IS a fast-growing Data & Analytics company with a global presence headquartered in Dublin, OH with office in Providence, RI, and an advanced technology center in Hyderabad, India. DATAECONOMY is well recognized and are known for their thought leadership, out-of-the-box products, cutting-edge solution accelerators, innovative business use cases, and cost-effective service offerings.

DATAECONOMY focus on these six core competencies believing that these competencies put together create nimble data enterprises enabling them for better data monetization.


DATA ENGINEERING: We provide services and solutions ranging from data plumbing through data consumption using traditional and modern technologies on either on-prem or cloud.


DATA SCIENCE: We put heavy emphasis on advanced visual analytics using graph technologies while leveraging the AI/ML/NLP to powerup the business use cases.


CLOUD: We have partnerships with major cloud vendors and direct MSA with AWS to deliver their native data platform solutions. A notable offering here is our Data Platform Modernization Suite for quick cloud enablement.


DATA GOVERNANCE: At DATAECONOMY, we look at Data Governance as foundation for Data Monetization beyond compliance. We focus on operationalize the data governance as treat that as an organizational behavioral transformation.


DATAOPS Over the last decade, organizations have matured with their overall DevOps, but we still see lot of white spaces when comes to the DataOps. Our solutions and services address these white spaces while quickly bringing the data organizations catching up to enterprise DevOs.

BLOCKCHAIN: momentum has slowed down in adopting the blockchain across industries as success requires tremendous amount of cross organizational collaborations. We are now working to take our Data Mesh, Data Exchange solutions to Blockchain hoping future is all about sharing and exchanging data amongst the organizations.

Contact the job poster
LP

Lokesh Potnuri

Recruiter @ DATAECONOMY
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