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Senior Data QA Engineer Job Opening In WorkFromHome – Now Hiring Parser


Job description

IT Recruiter | Technical Recruiter | Psychologist | IAmRemarkable

Overview

This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry.

Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

Responsibilities

  • Ensure that data is reliable for data consumers.

  • Lead the design and implementation of data test strategies and plans.

  • Conduct code reviews and provide feedback on data quality.

  • Debug data quality issues, identify the root cause, and provide solutions to data engineers.

  • Develop and maintain automated test frameworks using dbt.

  • Drive the adoption of best practices and continuous improvement in QA processes.

  • Subject matter expert in assigned projects that involve financial information.

  • Promote best practices for data quality across team members.

  • Expertise in Python and SQL (including Snowflake and Postgres).

  • Proficient in dbt to create data models, understand data transformations, implement data tests, and identify data quality issues.

  • Strong knowledge in AWS: S3, DynamoDB, Glue, and Lambda.

  • Strong knowledge of AWS CI/CD pipelines and DevOps practices.

  • Strong knowledge of test automation tools and frameworks.

  • Experience with Copilot Studio is a plus for implementing data tests and reducing manual tasks to expedite data quality reports.

  • Familiarity with Apache Airflow to understand data ETL workflows.

  • Familiarity with source/version control tools, such as Git.

What you'll bring to us

  • Excellent decision-making and problem-solving skills.

  • Strong communication and presentation skills.

  • Ability to influence and drive change across the organization.

  • Proven track record of delivering high-quality software products.

  • Coordinate solutions across teams to deliver a final product.

  • Provide guidance on implementing QA standards and best practices.

  • Demonstrate the ability to comprehend complex environments and maintain a continuous desire to learn.

Benefits

  • The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.

  • The opportunity to form part of an amazing, multicultural community of tech experts.

  • A flexible and remote working environment.

Come and join our #ParserCommunity.

Follow us on Linkedin

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • IT Services and IT Consulting

#J-18808-Ljbffr

Required Skill Profession

Ingeniería De Calidad


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data 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 Senior Data in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Senior Data roles.

9328 Jobs in Colombia
9328
1789 Jobs in Workfromhome
1789
Download Senior Data Jobs Trends in Workfromhome and Colombia

Are You Looking for Senior Data QA Engineer Job?

Great news! is currently hiring and seeking a Senior Data QA Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Parser 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 Colombia laws and regulations

What Is the Average Salary Range for Senior Data QA Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 Senior Data QA Engineer?

Key qualifications for Senior Data QA Engineer typically include Ingeniería De Calidad 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.

How Can I Improve My Chances of Getting Hired for Senior Data QA Engineer?

To improve your chances of getting hired for Senior Data QA Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior Data QA Engineer Job Success

Parser interview tips for Senior Data  QA Engineer

Here are some tips to help you prepare for and ace your Senior Data QA Engineer job interview:

Before the Interview:

Research: Learn about the Parser'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 Senior Data QA Engineer interview at Parser, 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 Parser'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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