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Sr. Data Engineer

Company Description

QAD Redzone is changing an industry with a people-based approach to continuous improvement. Our products quickly boost productivity and morale by addressing plant-specific production issues that affect production, quality, and maintenance teams.
We are looking for a proven Senior Data Engineer to work along side other developers on a cross functional delivery team.
Our developers innovate rather than merely follow a script. We value their input and ideas, allowing us to deliver products and functionalities ahead of our competitors. We take pride in staying at the forefront of the industry. 

This role is fully remote, but must be based in Mexico. With full work authorization already in effect. No Visa sponsorship available.

Job Description

As a Sr. Data Engineer youi will enhance our B2B analytics platform by improving database schemas, data pipelines, and data structures in Snowflake to ensure optimally structured data is delivered to our customers on time and with high performance. Evaluate current solutions and implement strategic improvements across the entire data pipeline.

What you will do

  • Evaluate and improve data models and schemas in Snowflake to enhance our B2B analytics products.
  • Analyze BI warehouse views and identify structural improvements at the source, collaborating with engineering teams to recommend beneficial changes for downstream BI products.
  • Optimize ETL/ELT pipelines for timely and reliable data synchronization.
  • Improve query performance and storage efficiency while controlling costs.
  • Enhance data quality monitoring and validation processes.
  • Work with product management to translate customer requirements into data solutions.
  • Guide team members and customers in creating effective reports using Power BI, Tableau, and Sigma.
  • Improve data lineage documentation and warehouse architecture.
  • Monitor and resolve pipeline issues to prevent service disruptions.\
  • Implement improvements to multi-tenant data architecture for better data isolation and resource utilization.

Qualifications

What you will need: 

  • Professional degree: Optional
  • 5+ years of experience as a Data Engineer

Computer skills-Must Haves:

  • Snowflake architecture expertise for multi-tenant B2B applications
  • Performance optimization for customer-facing data models and analytics.
  • Advanced SQL skills for complex query optimization
  • Proficiency in Python, Scala, or Go for data pipeline development
  • Experience analyzing source data structures and recommending improvements
  • Ability to collaborate with engineering teams on data design
  • Experience with ETL/ELT pipelines (Airflow, dbt)
  • Integration experience with Power BI, Tableau, and Sigma
  • Mentoring skills for report creation using BI tools
  • Data quality management for customer-facing products
  • Experience with GitHub/source control and CI/CD pipelines (GitHub Actions or Jenkins)
  • Understanding of multi-tenant data security and governance

 Nice to Have:

  • Snowflake's secure data sharing capabilities
  • Experience with B2B analytics platforms
  • Real-time data synchronization techniques
  • Data API design for programmatic access
  • Customer analytics usage tracking
  • Data privacy requirements knowledge
  • Change data capture methodologies
  • Other knowledge- Languages: SQL, Python/Scala/Go

Additional Information

  • Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
  • Opportunity to join a growing business, launching into its next phase of expansion and transformation.
  • Collaborative culture of smart and hard-working people who support one another to get the job done.
  • An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy.
  • Compensation packages based on experience and desired skill set

About QAD and QAD Redzone:

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises.  

QAD Redzone helps to enable QAD’s vision for the Adaptive Enterprise. Labor productivity improvements directly impact efficiency. Productive and empowered employees increase the effective capacity of your plant and accelerate time to productivity for new employees giving manufacturers the agility to increase production beyond what was previously possible without having to invest in production equipment or new plants, and reduce the amount and impact of employee attrition. Empowered employees with a growth mindset take extreme ownership of challenges that impact their production goals, creating resilience in the face of disruption.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. 

#LI-Remote

What You Should Know About Sr. Data Engineer, QAD, Inc.

Join QAD Redzone as a Sr. Data Engineer and be part of an exciting journey where your expertise will shape the future of our B2B analytics platform! Based remotely from Monterrey, Nuevo Leon, Mexico, you’ll work collaboratively within a cross-functional team to enhance our database schemas, data pipelines, and structures in Snowflake. Your role will focus on evaluating current solutions and implementing strategic improvements across the data pipeline that impact productivity and efficiency significantly. As an innovator, your insights will be welcomed as we strive to stay at the forefront of technology in manufacturing. You will enhance data models, optimize ETL/ELT pipelines, and work closely with both engineering teams and product management to translate customer needs into robust data solutions. Your guidance in creating effective dashboards using Power BI, Tableau, and Sigma will be invaluable as you monitor and resolve any issues that arise to ensure seamless service. At QAD Redzone, we prioritize a culture where creativity thrives, and valued team input drives our success. We believe that a balanced work-life culture leads to better productivity, so we support you in achieving that balance while also offering a competitive compensation package based on your experience and skills. If you’re ready to make an impact in the world of adaptive manufacturing, this is the place for you!

Frequently Asked Questions (FAQs) for Sr. Data Engineer Role at QAD, Inc.
What are the main responsibilities of a Sr. Data Engineer at QAD Redzone?

As a Sr. Data Engineer at QAD Redzone, your primary responsibilities will include enhancing our B2B analytics platform by improving database schemas and data pipelines in Snowflake, analyzing BI warehouse views for structural improvements, and optimizing ETL/ELT processes to ensure timely data synchronization. You'll also guide team members on creating reports with leading BI tools, monitor data quality, and collaborate with product management to synthesize customer requirements into actionable data solutions.

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What qualifications do I need to apply for the Sr. Data Engineer position at QAD Redzone?

To apply for the Sr. Data Engineer role at QAD Redzone, you'll need a minimum of five years of experience in data engineering, with specific expertise in Snowflake architecture for B2B applications and advanced SQL skills. Proficiency in programming languages like Python, Scala, or Go for data pipeline development is essential. Experience with ETL tools and data quality management, along with mentoring capabilities in BI tools, will also set you apart as a candidate.

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Is remote work an option for the Sr. Data Engineer position at QAD Redzone?

Yes, the Sr. Data Engineer role at QAD Redzone is fully remote, but candidates must be based in Mexico with full work authorization. This flexible setup allows you to enjoy a balanced lifestyle while contributing to innovative projects in the manufacturing industry from the comfort of your home.

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What tools and technologies will I use as a Sr. Data Engineer at QAD Redzone?

As a Sr. Data Engineer, you'll work primarily with Snowflake for data warehousing and analytics. You will also use ETL tools like Airflow and dbt for data processing. Additionally, familiarity with BI tools such as Power BI, Tableau, and Sigma will be crucial as you help guide report creation and ensure high-quality data delivery to customers.

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What is QAD Redzone's approach to team collaboration and culture?

At QAD Redzone, collaboration and a healthy team culture are key to our success. We foster an environment where ideas are shared openly without the constraints of hierarchy. Our employees are encouraged to take ownership of their projects, and we prioritize a collaborative approach to problem-solving. This culture not only drives innovation but also empowers employees to thrive in their roles.

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Common Interview Questions for Sr. Data Engineer
Can you explain your experience with Snowflake architecture?

In your answer, highlight specific projects where you utilized Snowflake, detailing how you optimized data structures for B2B applications. Discuss the challenges faced and how you implemented solutions that enhanced performance and data management.

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How do you approach optimizing ETL pipelines?

Describe your process for assessing existing ETL pipelines, identifying bottlenecks, and implementing performance improvements. Be sure to provide examples of tools you’ve used and the results achieved from your optimizations.

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What techniques do you use for monitoring data quality?

Share the methodologies you apply to ensure data accuracy and reliability. Discuss specific tools or practices you've employed in past roles to validate data and manage quality issues effectively.

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How do you collaborate with engineering teams on data design?

Explain your experience collaborating with engineering teams, detailing how you communicate data requirements and work together to implement effective solutions that meet both technical and business needs.

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What is your experience with BI tools like Power BI and Tableau?

Talk about specific instances where you used Power BI or Tableau to create reports or dashboards. Discuss your approach to data visualization and how you tailored reports to meet stakeholder requirements.

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What challenges have you faced in managing data quality for customer-facing products?

Provide examples of challenges you've encountered related to data quality, how you identified them, and the steps you took to resolve them, ensuring that customer-facing data remained accurate and reliable.

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Describe your experience with GitHub and CI/CD pipelines.

Discuss your familiarity with GitHub, source control practices, and CI/CD tools like GitHub Actions or Jenkins. Illustrate how you incorporate these practices into your workflow to streamline deployments and enhance collaboration.

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How do you ensure compliance with data privacy requirements?

Explain your understanding of data privacy regulations and how you implement practices to safeguard sensitive data within analytics projects, particularly when dealing with multi-tenant architectures.

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Can you walk us through your approach to troubleshooting data pipeline issues?

Outline your systematic approach to troubleshooting, including how you identify, analyze, and resolve data pipeline issues to prevent service disruptions. Provide specific examples from your prior experience.

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What innovations have you implemented in your previous roles that improved data processing?

Share examples of innovative approaches or technologies you have introduced in your previous positions that led to enhanced data processing speed, accuracy, or operational efficiency.

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QAD is an international integrated business software company. The company provides enterprise resource management software solutions for businesses across a variety of industries, such as automotive, consumer product, food and beverage, technology...

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Full-time, remote
DATE POSTED
March 19, 2025

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