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QA Data Engineer Job Opening In Freeport Maine – Now Hiring h3-Technologies


Job description

Job Title

QA Data Engineer





Location

Freeport, ME

Remote Work

100%



Primary Skills

Data Analysis

Notes



Required Skills

Job Description

A client of ours is looking for a QA Data Engineer for a 6 month contract opportunity.

Qualified candidates will have the following qualifications:



Summary:




  • This role involves developing and implementing test strategies, ensuring data accuracy Application performance and integrity, and optimizing data pipelines within the Google Cloud Platform (GCP) ecosystem.

    The ideal candidate will have a strong background in data engineering, test automation, and cloud technologies, with expertise in SQL and general understanding of BigQuery and Dataflow.

    Familiarity with client data and business process, along with proficiency using software management and collaboration tools such as Jira, Confluence, and SharePoint.





Key Responsibilities:




  • Partner with Data Engineers, Analysts, and business stakeholders to define quality requirements.

  • Document test cases, data validation rules, and best practices for scalable data governance.

  • Develop and implement test cases for ETL/ELT pipelines, data transformation, and ingestion processes.

  • Perform data validation, execute test cases (manual or automated) and analyze results.

    Regression testing ensures sufficient error validation is present.

    Reconcile variances and data anomalies to ensure high-quality data.

  • Validate data transformations and ingestion processes for structured and unstructured data.

  • Monitor and troubleshoot data issues, failures, and inconsistencies across the pipeline.

  • Provide support for root cause analysis and resolution of data-related defects, including the identification of code changes.

  • Document and track defects, providing detailed reports to development teams for resolution.

  • Participate in the design and implementation of automated testing scripts to improve testing efficiency.

  • Conduct regression testing to ensure that new code changes do not adversely affect existing functionality.

  • Perform post-release and post-implementation validation of software performance in production environments.

  • Continuously monitor and evaluate the quality of software deliverables, providing feedback for improvement opportunities.

  • Collaborate with end users to gather feedback.





Qualifications & Skills:





Must Have:




  • 3-5+ years of experience in data engineering, data testing, or quality assurance.

  • Proficiency in SQL, and data validation frameworks.

    (test strategies).

  • An understanding of ETL/ELT processes, data modeling, and schema design.





Nice-To-Have:




  • Familiarity with automated testing frameworks for data (e.g., Great Expectations, dbt tests).

  • Familiarity with LL Bean data and business process.

  • Familiarity with GCP data services (BigQuery, Dataflow, Dataproc, Cloud Storage) and Python.





Additional:




  • Strong understanding of software development and testing methodologies.

  • Excellent analytical and problem-solving skills.

  • Attention to detail and ability to document defects accurately.

  • Highly collaborative.

    Effectively works with cross-functional teams for the support and performance of the EDP and packaged applications.

  • Strong understanding of project management methodologies, including Agile and Waterfall.

  • Effective communication skills, both written and verbal, to collaborate with cross-functional teams.

  • Familiarity with programming languages (e.g., Java, Python) and scripting for automated testing.

  • Ability to work independently and manage multiple tasks simultaneously.

  • GCP or other relevant certification in software testing.





Working Conditions:




  • Ability to work in a fast-paced, dynamic environment.





Triage Skills:




  1. Prioritization: Assess and prioritize software issues based on severity, frequency, and impact.

  2. Collaboration: Work with stakeholders and technical leads to determine the best course of action for resolving issues.

  3. Decision-Making: Make informed decisions on which issues to address first, balancing business needs and technical feasibility.

  4. Communication: Clearly communicate the status and priority of issues to all relevant parties.

  5. Problem-Solving: Quickly identify the root cause of issues and propose effective solutions.





Required Skill Profession

Other General


  • Job Details

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Unlock Your QA Data Potential: Insight & Career Growth Guide


Real-time QA 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 QA Data in Freeport, Maine, United States, highlighting market share and opportunities for professionals in QA Data roles.

47736 Jobs in United States
47736
14 Jobs in Freeport, Maine
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Download Qa Data Jobs Trends in Freeport, Maine and United States

Are You Looking for QA Data Engineer 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 h3-Technologies 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 United States laws and regulations

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

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

Key qualifications for QA Data Engineer typically include Other General 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 QA Data Engineer Job Success

h3-Technologies interview tips for QA Data Engineer

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

Before the Interview:

Research: Learn about the h3-Technologies'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.

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

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your QA Data Engineer interview at h3-Technologies, 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 h3-Technologies'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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