
Data Engineer
Dublin, CAJobSeen 6 days agoSeen in employer's feed 6 days ago
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Job overview
The Data Engineer will design, develop, and maintain enterprise data solutions on Snowflake. The role builds scalable data pipelines and curated reporting datasets, implements data governance standards, and partners with business stakeholders to deliver analytical solutions. The posting prefers a senior-level or above candidate and describes an ideal candidate who combines technical expertise with the ability to work directly with business users, analysts, and engineers.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
The Data Engineer (Senior Level or above preferred) will design, develop, and maintain enterprise data solutions on the Snowflake platform. This role is responsible for building scalable data pipelines, developing curated reporting datasets, implementing data governance standards, and partnering with business stakeholders to translate requirements into reliable analytical solutions. The ideal candidate combines strong technical expertise with the ability to work directly with business users, analysts, and engineers to deliver high-quality data products that support enterprise reporting and analytics initiatives.
Skills and Requirements
Required Qualifications
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Expert-level SQL proficiency o Advanced query development o Performance optimization and tuning o Data modeling o View and stored procedure development o Complex joins, aggregations, and analytical functions o Data validation and reconciliation
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Expert-level Python proficiency o Data engineering automation o Data transformation and processing o API integrations o Data quality validation o Workflow automation o Analytical and operational tooling
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Experience designing and building data pipelines
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Experience developing reporting-ready datasets
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Strong understanding of data warehousing principles
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Experience working with large-scale enterprise data environments Preferred Qualifications
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Strong Snowflake experience
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Experience with Power BI
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Experience with Airflow or similar orchestration platforms
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Experience with GitHub-based development workflows
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Experience with cloud data platforms
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Experience with CI/CD and DevOps practices
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Experience mentoring junior engineers Critical Success Factors A successful candidate:
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Demonstrates exceptional SQL and Python skills.
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Takes ownership from requirements through deployment.
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Produces well-documented, maintainable solutions.
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Balances technical excellence with business needs.
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Communicates effectively with both technical and non-technical audiences.
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Champions data quality, governance, and engineering best practices.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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