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10 часов назад

Senior Data Engineer (Databricks & Cloud Analytics)

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

Текст:
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TL;DR
Senior Data Engineer (Databricks & Cloud Analytics) (Databricks/cloud analytics): Design and support enterprise data platforms, scalable data pipelines, and cloud analytics solutions with an accent on Databricks, Spark, Azure, SQL performance, and event streaming. Focus on implementing complex ETL/ELT architectures, optimizing large-scale data processing, integrating enterprise applications, and mentoring data engineering teams.

Location: Hybrid role with onsite and remote work in Salt Lake City, Utah, United States

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Design, develop, and support enterprise data platforms, cloud analytics solutions, and large-scale data engineering initiatives.
  • Build scalable data pipelines and analytics solutions with Databricks, Apache Spark, Python, SQL, and Scala.
  • Implement and manage Databricks Workspaces, Delta Lake, Unity Catalog, Delta Live Tables, Databricks SQL, MLflow, and Databricks Jobs.
  • Develop ETL/ELT processes with Azure Data Factory, Azure Data Lake Storage Gen2, Kafka, REST APIs, and web services.
  • Optimize SQL queries and data processing performance while working in Linux environments with shell scripting.
  • Contribute to Agile delivery and provide technical mentoring and leadership to data engineering teams.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
  • At least 6 years of experience designing and supporting enterprise data platforms or cloud data solutions.
  • Extensive hands-on experience with Databricks, Apache Spark, Python, SQL, and Scala.
  • Experience with SQL optimization, ETL/ELT design, Azure Data Factory, Kafka or similar streaming systems, and cloud data storage.
  • Proficiency with Git, Linux environments, scripting, and Agile methodologies.
  • Strong analytical and troubleshooting skills, with the ability to prioritize tasks independently and mentor team members.

Nice to have

  • Experience with Terraform and Infrastructure as Code.
  • Experience with CI/CD pipelines using Azure DevOps or GitHub Actions.

Culture & Benefits

  • Hybrid onsite and remote work model.
  • Participation in Agile teams using Scrum, Kanban, or SAFe.
  • Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan coverage.
  • Eligible employees may participate in a 401(k) plan.

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