1 month ago

QA Tester

Jobs via Dice

Hybrid
Full Time
$105,000
Hybrid
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Job Overview

Job TitleQA Tester
Job TypeFull Time
Offered Salary$105,000
LocationHybrid

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Job Description

QA Tester at Jobs via Dice

Kforce has a client in Long Island NY, that is seeking a QA Tester with a strong focus on data analysis and backend testing to support enterprise data platforms. This role involves validating data pipelines, backend systems, and reports within a cloud-based environment. The ideal candidate is highly skilled in SQL, understands data models and ETL processes, and can independently ensure data accuracy across systems.

Key Responsibilities:

  • Perform backend and data-focused testing on cloud-based platforms
  • Validate data pipelines, transformations, and ETL processes
  • Execute advanced SQL queries to verify data integrity and accuracy
  • Test and reconcile data across databases and reporting tools
  • Review data models, schemas, and mapping documents
  • Identify and resolve data discrepancies in collaboration with the QA and development teams

Requirements:

  • 3-5 years of experience in QA, data testing, or ETL testing
  • Advanced SQL skills and strong data analysis capabilities
  • Experience testing backend systems and data pipelines
  • Strong attention to detail and analytical problem-solving skills

Key skills/competency:

  • SQL
  • Data Analysis
  • Backend Testing
  • ETL Processes
  • Data Pipelines
  • Data Integrity
  • Cloud Platforms
  • Data Models
  • Schema Review
  • Problem-solving

Tags:

QA Tester
Data analysis
Backend testing
ETL testing
Data validation
SQL queries
Data integrity
Data pipelines
Schema review
Discrepancy resolution
Cloud environment
SQL
Cloud computing
ETL
Data warehousing
Databases
Data modeling
Reporting tools
Data migration
Data quality
Data architecture

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How to Get Hired at Jobs via Dice

  • Research Kforce's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for data testing: Customize your resume to highlight advanced SQL, ETL, and backend data validation experience.
  • Showcase your problem-solving skills: Prepare examples demonstrating your analytical approach to identifying and resolving data discrepancies.
  • Master SQL interview challenges: Be ready for technical interviews focused on complex SQL queries and data analysis scenarios.

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