Data & Integrations Engineer
Data & Integrations Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Overview
Hayward Holdings Inc. (NYSE HAYW) is the largest manufacturer of residential swimming pool equipment in the world with a significant presence in the commercial pool market that is continuously growing. Hayward designs manufactures and markets a full line of residential and commercial pool and spa equipment including pumps filters heating cleaners salt chlorinators automation lighting safety flow control and energy solutions at our company-owned facilities. Headquartered in Charlotte North Carolina Hayward also has facilities in Tennessee Arizona and Rhode Island as well as Canada Spain France Australia and China. This role can be based out of our facility in Clemmons NC.
Were seeking a Data and Integration Engineer to support our growing data initiatives including integration analytics and modeling. This is an excellent opportunity for someone early in their career whos eager to work with cloud technologies like AWS and contribute to building reliable and scalable data solutions.
Responsibilities
Perform daily support of Snowflake and AWS infrastructure to include administrative activities such as creating accounts monitoring jobs and data modeling.
Ensure reliability uptime and effective backup of software tools.
Translate business requirements and end-user needs into data architecture blueprints that deliver cost effective & high performing high quality data solutions in compliance with IT standards policies and long-term technical strategies.
Design develop manage and update logical and physical data models; catalog data structures data relationships and models based on industry standards enforcing data quality reliability and governance.
Migrate datasets between existing and future database platforms.
Perform integration development and support tasks around our Microsoft Dynamics 365 Finance & Supply Chain Management (FSCM) program.
Understand and implement best practice solutions per development standards.
Produce ad-hoc data extracts to answer business questions quickly and thoroughly.
Collaborate with Project Managers IT Architecture Business Analysts and Report Developers to achieve business objectives.
Develop technology documentation to support production deployments as well as ongoing maintenance of reporting and data solutions.
Troubleshoot diagnose and resolve data quality and performance issues related to data integration and transformation. Communicate complex topics and analyses to non-technical business personnel.
Present and participate in Architecture Review Board meetings. Review solutions presented by other IT architects and provide constructive feedback.
Provide accurate level of effort estimates for data integration development to management.
Qualifications
Bachelors degree in Computer Science Information Technology or a related field.
12 years of hands-on experience writing advanced SQL queries preferably in Snowflake or
another cloud-based data warehouse.
Introductory experience with programming languages such as Python Java or Groovy (via
coursework personal projects or internships)
Solid understanding of data warehousing concepts with some experience in star-schema design and implementation
Exposure to DevOps environments including basic support for production issues and troubleshooting workflows
Familiarity with API and web services integration (REST SOAP or bulk data exchange).
Understanding of distributed data architectures and processing frameworks (coursework internships or project experience acceptable)
Some experience with CI/CD pipelines using tools like GitHub Actions AWS CodeBuild or similar
Comfort working across different operating systems (Unix Linux Windows).
Strong analytical and problem-solving skills with a willingness to learn and grow.
Collaborative mindset with the ability to communicate effectively with technical and non-technical team members.
Self-motivated curious and committed to continuous learning and professional development.
Preferred Qualifications:
Exposure to working or interning in a global or cross-functional team environment
Basic understanding of BI reporting tools such as Power BI (academic projects or self-learning acceptable)
Exposure to workflow orchestration and job scheduling tools like Apache Airflow dbt or similar
Exposure to leading BI reporting tools preferably cloud based such as Power BI
Foundational knowledge of statistical concepts and how they apply to data analysis
Awareness of data science principles including topics like machine learning and artificial intelligence
Employment Type
Unclear
