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8 дней назад

Analytics Engineer (Data Management)

Формат работы
remote (только Romania)
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Romania
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
Analytics Engineer (Data Management) (Data Engineering/Analytics): Building scalable data marts, ETL/ELT pipelines, and recurring reporting datasets for data science, analytics, and business reporting with an accent on Azure Data Factory, Databricks, SQL, and Python. Focus on dimensional modeling, production pipeline operations, data quality and reconciliation, and translating technical trade-offs for business stakeholders.

Location: Fully remote from Romania; applicants permanently located outside Romania may be declined.

Company

hirify.global provides data resilience and data security solutions, helping organizations protect and manage data and AI across more than 30 countries.

What you will do

  • Design, implement, and maintain scalable data marts and SQL or Python ETL/ELT processes.
  • Transform data from multiple sources into structured datasets for analysis, reporting, Finance, and Sales use cases.
  • Build and orchestrate pipelines with Azure Data Factory, Databricks, Python notebooks, and Spark SQL.
  • Partner with analysts, data scientists, business stakeholders, Data, Architecture, and DevOps teams to define models, deployments, infrastructure, and platform standards.
  • Implement data quality checks, reconciliations, monitoring, alerting, scheduling, and dependency management for production pipelines.
  • Document data flows, models, processes, and root-cause analyses clearly enough for team support.

Requirements

  • 3+ years of experience in analytics engineering, data engineering, or BI engineering.
  • Advanced SQL, including window functions, CTEs, complex joins, and query performance tuning.
  • Python for data pipeline development, including PySpark or pandas.
  • Solid understanding of dimensional modeling and slowly changing dimensions, including SCD Type 2.
  • Experience building cloud data processes; Azure is preferred, while AWS or GCP are considered.
  • Experience operating production pipelines through scheduling, monitoring, and troubleshooting failures.
  • Experience delivering accurate recurring business-reporting datasets under deadline constraints.
  • Ability to explain technical trade-offs to non-technical stakeholders.
  • Fluent English in spoken and written communication. Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience.

Culture & Benefits

  • 21 annual vacation days, additional tenure-based days, 4 extra hirify.globale Days, and 24 paid volunteer hours annually.
  • Private health, dental, and vision insurance for employees and dependents, including outpatient care, hospitalization, pregnancy monitoring, and psychology support.
  • Monthly lifestyle and meal benefits of 40 RON per day through Edenred and 600 RON per month through a flexible cafeteria platform.
  • Life insurance equal to 2× annual gross salary, plus critical illness, disability, and vision reimbursement coverage.
  • Access to Bookster and learning resources including LinkedIn Learning, O’Reilly, mentoring, workshops, and learning events.

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