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3 дня назад

Databricks Genie Consultant / Data Engineer (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
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
Databricks Genie Consultant / Data Engineer (Databricks): Building scalable data pipelines, transformations, data models, semantic layers, and business dashboards on the Databricks Lakehouse platform with an accent on Databricks Genie, Unity Catalog, Delta Lake, and data governance. Focus on configuring and deploying self-service analytics, optimizing data for business consumption, and ensuring data quality, security, and lineage.

Location: Mumbai or Bengaluru, India; hybrid with 2 days working from the office per week

Company

hirify.global delivers data engineering and analytics solutions using the Databricks Lakehouse platform.

What you will do

  • Build and maintain scalable data pipelines, transformations, and data models.
  • Configure, manage, and deploy Databricks Genie.
  • Develop semantic layers and optimize data for business consumption.
  • Create reports and dashboards for business users.
  • Translate business requirements into scalable data solutions with business and data teams.
  • Maintain data quality, governance, security, and lineage across the Databricks environment.

Requirements

  • 5+ years of professional experience in data engineering.
  • Strong hands-on experience with data engineering and data modeling.
  • Expertise in Databricks, including Unity Catalog, Delta Lake, and Lakehouse Architecture.
  • Hands-on experience with Databricks Genie and semantic layers.
  • Strong SQL and analytical skills.
  • Excellent stakeholder management and communication skills.

Nice to have

  • Experience with Power BI or Tableau.
  • Exposure to Retail, CPG, or BFSI domains.

Culture & Benefits

  • Full-time employment.
  • Hybrid work arrangement with two office days per week.
  • Collaboration with business and data teams on actionable analytics solutions.

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