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BI and Data Pipeline QA Analyst Job Opening In Industrial Area – Now Hiring Sonata Software


Job description

Job Description Summary

We are hiring a meticulous and skilled QA Engineer with expertise in data validation, report testing, and automation.

The ideal candidate will have hands-on experience testing data pipelines, Power BI dashboards, and automated data workflows, ensuring end-to-end data quality and report accuracy.


Experience

  • 3–6 years in QA roles, with focus on data engineering and reporting environments.
  • Proficiency in SQL for querying and validating large datasets.
  • Experience testing Power BI reports and dashboards (or similar tools like Tableau/Looker).
  • Experience with test automation frameworks (e.G., PyTest, Selenium, dbt tests).
  • Familiarity with ETL tools, Airflow, and data warehouses like Snowflake or BigQuery.
  • Understanding data quality concepts: completeness, accuracy, consistency, freshness.
  • Experience with version control (Git), CI/CD pipelines, and issue tracking (e.G., Jira).


Key Responsibilities

  • Design and execute test strategies for ETL pipelines, data transformations, and BI dashboards.
  • Conduct manual and automated testing for data pipelines and reports.
  • Validate Power BI dashboards and reports for data correctness, layout integrity, and performance.
  • Automate data validations using SQL and Python (e.G., with PyTest, dbt tests, or custom scripts).
  • Perform cross-system data comparisons to ensure consistency across data layers and reports.
  • Collaborate with data engineers and analysts to understand business logic and ensure test coverage.
  • Maintain test documentation, including test plans, cases, and defect logs (e.G., in Jira).
  • Participate in agile sprints, release planning, and code reviews to embed QA early in the cycle.


Qualifications

  • Bachelor’s degree in information technology or related field;
    or an equivalent combination of education and experience sufficient to successfully perform the key accountabilities of the job required.
  • Exposure to Power BI DAX expressions and filters for deeper validation.
  • Experience with API testing tools (e.G., Postman, REST Assured).
  • Background in BI regression testing and automated report verification.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.


Non-Technical Requirements:

  • Proven success in contributing to a team-oriented environment
  • Strong analytical, problem-solving, and decision-making capabilities.

  • Excellent communication (written and oral) and interpersonal skills
  • Self-driven and highly organized, with a proactive approach to operational excellence.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your BI and Potential: Insight & Career Growth Guide


Real-time BI and Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for BI and in Industrial Area, India, highlighting market share and opportunities for professionals in BI and roles.

67457 Jobs in India
67457
321 Jobs in Industrial Area
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Download Bi And Jobs Trends in Industrial Area and India

Are You Looking for BI and Data Pipeline QA Analyst Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sonata Software adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for BI and Data Pipeline QA Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Industrial Area. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for BI and Data Pipeline QA Analyst?

Key qualifications for BI and Data Pipeline QA Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for BI and Data Pipeline QA Analyst Job Success

Sonata Software interview tips for BI and Data Pipeline QA Analyst

Here are some tips to help you prepare for and ace your BI and Data Pipeline QA Analyst job interview:

Before the Interview:

Research: Learn about the Sonata Software's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your BI and Data Pipeline QA Analyst interview at Sonata Software, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Sonata Software's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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