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1 день назад

Senior Data Quality Engineer (AWS/Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Quality Engineer (AWS/Python): Building and operating cloud-based, enterprise-scale data quality platforms with an accent on AWS services, Snowflake, Datadog, automated reconciliations, and data profiling. Focus on diagnosing root causes, predicting data quality risks, developing actionable insights, and advancing data governance.

Location: Hybrid position based in the Kansas City, Missouri office; employees must attend the office on a scheduled frequency. Applicants must be authorized to work in the United States without visa sponsorship, now or in the future.

Company

hirify.global is a privately owned global investment management firm focused on equities, fixed income, multi-asset strategies, ETFs, and private investments.

What you will do

  • Lead end-to-end data quality solutions in the cloud using AWS technologies.
  • Design and maintain a scalable data quality platform using Glue, Lambda, SNS, SQS, S3, Athena, Datadog, Snowflake, Tableau, and PowerBI.
  • Build automated reconciliations, data profiling, quality metrics, and dashboards.
  • Identify, analyze, and resolve data quality issues using reports, KPIs, patterns, and trends.
  • Apply analytical and predictive techniques to diagnose root causes and anticipate data quality risks.
  • Partner with engineers, developers, business leaders, and stakeholders on reporting, process improvements, system enhancements, and data governance.

Requirements

  • Bachelor’s degree in Computer Science, Management Information Systems, or a related field.
  • 6+ years of experience in data quality engineering or data engineering, including enterprise-scale data quality frameworks or platforms.
  • Hands-on experience with AWS cloud-native services, Snowflake, Datadog, Glue ETL, Tableau, and PowerBI.
  • Advanced experience with Python, SQL, and data quality automation.
  • Understanding of data governance, strong analytical and problem-solving skills, and experience exploring data.
  • Strong communication and collaboration skills, with the ability to work independently in an Agile environment and build business partnerships.

Nice to have

  • Master’s degree in a related field.

Culture & Benefits

  • Competitive compensation package with a bonus plan.
  • Generous paid time off and competitive benefits.
  • 401(k) with a 5% company match and an annual performance-based discretionary contribution.
  • Tuition reimbursement and formal mentorship.
  • Live and online learning opportunities.

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