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Роль описана понятно и предполагает современный стек, но сочетание миграции данных, задач на стыке с инженерией и BI-отчётности может сделать работу насыщенной; офисный формат и контракт ограничивают гибкость.
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Контрактная занятостьШирокий круг задачАктуальный стекПонятные обязанности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Business Intelligence & Data Analyst (Databricks/Power BI): Migrating legacy data to cloud environments, organizing large datasets, and building recurring dashboards and reports with an accent on SQL, Databricks, Power BI, and data quality. Focus on validating migrations, optimizing queries and pipelines, translating business requirements into technical specifications, and producing actionable operational insights.
Location: Onsite in Miramar, Florida, United States
Salary: $35–$40 per hour
Company
hirify.global is a global services firm with more than 9,000 associates, providing talent and technology solutions across public and commercial sectors.
What you will do
Plan and execute migration of legacy data sources and databases to cloud environments, ensuring accuracy, completeness, minimal disruption, reconciliation, validation, and documented data lineage.
Organize and manage large datasets in Databricks, including tables, schemas, workspaces, and notebooks, and connect upstream and downstream databases, applications, and BI tools.
Build and optimize SQL and Python queries, notebooks, workflows, and data pipelines in partnership with Data Engineering teams.
Clean, transform, standardize, and organize complex datasets while maintaining data quality checks, naming conventions, and documentation.
Create and maintain Power BI and Excel dashboards, recurring reports, KPIs, metrics, and visualizations for operational decision-making.
Gather requirements, prioritize requests, manage stakeholder expectations, and act as a liaison between Product, Engineering, and business stakeholders.
Requirements
3–5 years of experience in data analysis, business intelligence, or a similar role.
Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Business, or a related field, or equivalent professional experience.
Advanced SQL proficiency, including complex joins, CTEs, window functions, and query optimization.
Strong Power BI experience, including DAX, data modeling, row-level security, and report and dashboard maintenance.
Advanced Excel skills, including pivot tables, Power Query, complex formulas, and data modeling.
Working Python proficiency for data manipulation, automation, and analysis, including pandas and NumPy.
Advanced hands-on Databricks experience, including hosting datasets, building notebooks, and connecting external data sources and BI tools.
Experience integrating multiple databases and large datasets with Databricks, migrating legacy data to cloud environments, and cleaning, transforming, standardizing, and organizing complex datasets.
Strong communication skills and the ability to translate business requirements, understand and develop queries, maintain recurring BI reports, and liaise with technical and non-technical stakeholders.
Nice to have
Experience with hospitality, hotel operations, guest experience, housekeeping, staffing, or similar operational datasets.
Experience with Delta Lake, Unity Catalog, or Databricks SQL.
Familiarity with Azure, AWS, or GCP.
Exposure to ETL/ELT and orchestration tools such as Azure Data Factory, Airflow, or dbt.
Understanding of star schemas, dimensional modeling, and data governance concepts.
Experience in an Agile product development environment.
Databricks Certified Data Analyst Associate, Databricks Certified Data Engineer Associate, Microsoft PL-300, or similar certification.
Culture & Benefits
Direct employment with hirify.global; work authorization sponsorship is not available now or in the future.
Onsite work in Miramar, Florida.
Medical, dental, and vision insurance.
401k retirement account access.
Paid sick leave and/or other paid time off as provided by applicable law.
Reasonable accommodation is available during the application and selection process.
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