Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$89к-168к/год
$140к$160кмедиана$200к
По похожим ролям (50) ~ $160к/год
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Обязанности в data engineering и BI описаны чётко, но широкий выбор облачных и платформенных технологий не позволяет понять, с каким стеком предстоит работать.
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Много вариантов стекаКомандировкиАктуальные технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Business Intelligence): Designing data models, ETL pipelines, semantic models, and dashboards for unified data platforms with an accent on dimensional modeling, scalable data integration, and business analytics. Focus on building cloud-based data solutions, analyzing complex business requirements, and solving data-driven problems across multiple business domains.
Location: Chicago, United States; hybrid workstyle aligned to an hirify.global office, with up to 20% travel.
Salary: $88,900–$168,300 annually, plus discretionary bonus eligibility.
Company
hirify.global provides professional services to middle-market clients globally.
What you will do
Create and maintain dimensional and 3NF data models aligned with business requirements.
Design and develop ETL pipelines that consolidate multiple source systems into unified data platforms, including source-to-target mappings, business rules, and transformations.
Develop semantic models, reports, and dashboards based on business requirements.
Facilitate requirements sessions and conduct data analysis to identify data needed for business objectives.
Collaborate with clients and team members across regions in office, virtual, and independent work settings.
Requirements
Bachelor’s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, or Analytics.
At least 3 years of experience designing data models across multiple subject areas and business domains.
At least 3 years of experience designing and developing business intelligence solutions.
At least 3 years of experience designing and developing scalable data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses.
Proficiency in SQL and experience with Python or Scala.
Experience with major cloud platforms such as Microsoft Azure, AWS, or GCP; data platforms such as Fabric, Databricks, or Snowflake; and Git, DevOps, CI/CD, and version control.
Experience with BI visualization tools such as Power BI, QuickSight, or Tableau.
Strong written and verbal communication, critical thinking, and problem-solving skills.
Team-oriented, with the ability to work independently and in virtual teams; willing and able to travel up to 20%.
Nice to have
Experience conducting solution or technical assessments.
Experience with dbt, Spark, and big data technologies.
Knowledge of Databricks.
Working knowledge of information management tools such as Collibra, Informatica, Talend, Alation, or Purview.
Culture & Benefits
Hybrid workstyle combining flexibility with in-person connection, aligned to an hirify.global office.
In-person collaboration is used when it supports clients, teams, development, or relationship-building; some roles may be virtual or primarily on-site based on requirements.
Competitive benefits and compensation package.
Equal employment opportunity and reasonable accommodation are provided.
hirify.global does not intend to hire entry-level candidates who require sponsorship now or in the future, including F-1 visa holders.
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