Data Quality Engineer

job summary:

Overview: Join our dynamic Global Information Systems department as a Data Quality Engineer, where your expertise will play a pivotal role in ensuring exceptional data quality for our clients. Collaborating closely with our DataOps team, Data Owners, and Data Stewards, you will champion data quality standards and processes, proactively addressing data quality issues to guarantee that our data is accurate, complete, and reliable.

Qualifications:

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• Education:
  
  
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  • Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or a related field with 7+ years of relevant experience, OR
    
    
  • Master's degree in the same fields with 5+ years of pertinent experience.
    
  
  
  
• Experience:
  
  
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  • Proficiency in data ingestion, automated testing of diverse sources, and integration.
    
    
  • strong skills in SQL Queries, Stored Procedures, and data warehousing/modeling.
    
    
  • Familiarity with automated testing of data security measures (RBAC, RLS, CLS, Data Masking) and near real-time data processing.
    
    
  • Programming experience in C#, JavaScript, and Python is essential.
    
  
  
  
• Eligibility:
  
  
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  • Current right to work in the U.S. without sponsorship.
    
    
  • Ability to work onsite at our Holland, MI headquarters without relocation assistance.
    
  
  
  

Key Responsibilities:

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• Design and automate the testing framework for our Big Data infrastructure, utilizing advanced technologies from SAP and Azure, both on-premises and cloud-based.
  
  
• Lead API testing and automation efforts for data pipelines, services, cloud data warehouses, and machine learning platforms.
  
  
• Validate products, models, pipelines, and deliverables using programming languages and analytics tools.
  
  
• Define and manage Data Quality Requirements and Rules using tools like Collibra.
  
  
• Employ ETL tools such as SAP BODS, SAP SLT, SSIS, and SAP CPI for data extraction, transformation, and loading.
  
  
• Spearhead data governance and profiling initiatives to maintain data quality and metadata documentation.
  
  
• Establish quality metrics for evaluating pipelines and deliverables.
  
  
• Develop automated testing solutions utilizing statistical methods and models.
  
  
• Operate within an Agile development framework, collaborating with other developers on data science feature implementation.
  
  
• Implement best practices in software engineering, including test-driven development (TDD) and code reviews.
  
  
• Support the Quality Assurance team with feature and regression testing.
  

Ideal Candidate Attributes:

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• Expert in all phases of the delivery lifecycle, from requirements gathering to post-launch support.
  
  
• Familiarity with current development standards and techniques within Haworth's Technical Stack.
  
  
• Skilled at analyzing and debugging complex, cross-platform issues, with the ability to mentor others.
  
  
• strong commitment to customer service and outstanding collaboration skills across all organizational levels.
  
  
• Exceptional analytical and problem-solving capabilities, with a keen attention to detail.
  
  
• Flexible, adaptable, and proactive in assisting across various priorities.
  
  
• Capable of operating with minimal supervision while keeping leadership informed.
  
  
• Excellent written and verbal communication skills.
  

Haworth Values: At Haworth, our core values guide our actions and align us with our customers. We prioritize:

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• Listening to our Customers
  
  
• Valuing our Members
  
  
• Upholding Integrity
  
  
• Embracing Continuous Learning
  
  
• Leading with Design
  
  
• Creating Value
  
  
• Striving to make the World a better place
  

Join Us: If you're passionate about data quality and ready to make a significant impact, we want to hear from you

location: Holland, Michigan

job type: Permanent

salary: $95,000 - 125,000 per year

work hours: 8am to 4pm

education: Bachelors

responsibilities:

Company Overview

When you feel connected to your work, you feel more engaged. At Haworth, you can pursue a career that offers you ample opportunity to build your portfolio and expand your skillset in an exciting and inclusive environment. Join a company that values innovation, inspiration, and you

HAWORTH is a global leader in office furniture and architectural interiors. As a valued member of our team, you can make your mark on the world and reach your full potential within a culture of connectivity.

Why Haworth? Find out here

Here at Haworth, our members enjoy benefits from their first day of employment including:

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• 4 weeks paid time off and an option to purchase an additional week
  
  
• Priority Health Insurance
  
  
• Newly renovated on-site gym open 24 hours
  
  
• 401k Benefit - If you contribute 6% of your annual salary, Haworth will contribute up to 7%
  
  
• Annual bonus programs
  
  
• Company provided Short Term Disability, Long Term Disability & Life Insurance
  
  
• Tuition Reimbursement program
  
  
• 8 hours of paid volunteer time off
  
  
• Zero waste to landfill company which provides personal on-site recycling drop-off
  

Job Overview

We are currently looking for a Data Quality Engineer to join our team in Holland.

As a Data Quality Engineer, you will:

Haworth's Global Information Systems department is seeking a highly driven and effective professional to join the data ops team. As a Data Quality Engineer, you will leverage your expertise, experience, and passion to ensure we uphold the highest levels of data quality and excellence for our clients. You will be responsible for maintaining and enhancing the quality of our data. Working closely with our DataOps team members, Data Owners, and Data Stewards, you will develop, implement, and maintain data quality standards and processes. Additionally, you will identify and resolve data quality issues, ensuring that our data is accurate, complete, and reliable.

Do you have these required qualifications?

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• Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or similar field of study with 7 years experience in related design, development, and support experience in respective technology stack
  

OR

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• Master's Degree in Computer Science, Computer Information Systems, Computer Engineering, or similar field of study with 5 years experience related design, development, and support experience in respective technology stack
  

Related experience includes: data ingestion automated testing of multi sources and multi-integration, writing SQL Queries and Stored Procedures, testing Data Warehousing and data modeling, automated testing of data security (RBAC, RLS, CLS, Data Masking), automated testing of 724 near real-time data ingestion and incremental change processing, programming experience with C#, JavaScript, and Python.

(Combination of equivalent education and work experience will also be considered)

In Addition to:

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• Current and continuing right to work in the United States without sponsorship
  
  
• The ability to work and commute daily on-site to our headquarters in Holland, MI without relocation assistance
  

Job Responsibilities:

• 
  
• Lead the design, development, and automation of the testing framework for our Big Data infrastructure using various latest technologies from SAP and Azure, both on-premises and in the cloud.
  
  
• Lead API testing and automation of data pipelines, data services, cloud data warehouses, business intelligence, and machine learning platforms, with a focus on unified transactional data.
  
  
• Utilize programming languages and analytics tools/technologies to validate products, machine learning models, data pipelines, and data deliverables.
  
  
• Use data catalog tools like Collibra to define, document, and manage Data Quality Requirements and Data Quality Rules.
  
  
• Use ETL tools like SAP BODS
  

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