Senior Quality Assurance

Impelsys

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

39 hours ago
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Job summary

Impelsys is seeking a talented QA to analyze, test and build tools for data quality validation. The role requires strong Python programming, SQL skills, and experience with large data sets. A QA mindset and ability to create test cases for data scenarios meeting business needs are essential.

The candidate will develop test strategies, build robust test suites, and maintain test data sets while collaborating with data engineers and analysts to improve data pipelines and product quality.

Qualifications

  • 3+ years of experience in Quality Assurance, including at least 2+ years in test automation development and data validation.
  • Experience in data reconciliation and data workflows.
  • Scripting or programming languages (Python).
  • Experience with testing PowerBI reports.
  • Proven track record of programmatically testing software products.
  • Experience with JIRA or another defect tracking system.
  • Exceptional analytical and problem-solving skills.
  • Great collaboration and communication skills.

Responsibilities

  • Develop test strategies and engineering practices related to software test engineering, including manual and automated testing with focus on data quality.
  • Develop robust test suites, test plans, use cases, and scripts to uncover defects or shortcomings.
  • Generate and maintain test data sets and configure test environments.
  • Perform data validations using SQL.
  • Report defects accurately and facilitate issue tracking to resolution.
  • Create quality metrics to evaluate data pipelines and deliverables.
  • Collaborate with data engineers/scientists/analysts to inform testability in designs.
  • Research and evaluate new QA technologies or tools.

Skills

Quality Assurance
Python
SQL
Data validation
Data reconciliation

Tools

PowerBI
JIRA

Job description

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We are looking for a talented QA. This role requires the candidate to analyze, test and build tools to meet the data quality validation needs in the team. A QA mindset in being able to create test cases for verifying the data scenarios that meet business needs is an absolute must. The candidate must have strong programming knowledge, especially in Python and strong SQL fundamentals. An exposure to handling very large data sets is strongly preferred. A solid critical thinker with strong programming skills and sound grounding in data quality will be successful in this role.

Key Responsibilities:
  • Develop test strategies and engineering practices related to software test engineering, both manual and automated testing with a specific focus on data quality
  • Develop robust test suites, design test plans, use cases, and scripts that will uncover potential defects or solution shortcomings.
  • Generate and maintain test data sets. Configure and maintain test environments.
  • Good understanding of SQL to be able to perform data validations.
  • Report defects accurately and facilitate issue tracking to successful resolution.
  • Create quality metrics to evaluate data pipelines, products and customer deliverables.
  • Work closely with data engineers, data scientists and analysts to inform solution designs in terms of testability.
  • Research, evaluate and utilize new technologies or tools in the quality assurance space.
Qualifications
  • 3+ years of experience in Quality Assurance of which at least 2+ years of experience in test automation development and data validation
  • Experience in data reconciliation and data workflows
  • Scripting or programming languages (Python)
  • Experience with testing PowerBI reports
  • Proven track record of programmatically testing software products.
  • Experience with JIRA or another defect tracking system.
  • Exceptional analytical and problem-solving skills.
  • Great collaboration and communication skills
Your Qualities:
  • Inherent curiosity and empathy for customer success
  • Excites team members with enthusiasm for the product’s success.
  • Curious about the product and eager to understand marketers’ challenges to ensure quality.
  • Detail-obsessed, driven to find root causes rather than accepting surface-level issues.
  • Empathetic communicator who collaborates effectively with engineers, even in tough conversations.
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