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8 часов назад

Data Scientist (Python/SQL)

Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (Python/SQL): Designing and optimizing scalable data solutions, ETL/ELT pipelines, and data models for analytics, reporting, and application environments with an accent on data lakes, data warehouses, and automated workflows. Focus on building reliable data pipelines, troubleshooting performance issues, and enabling efficient data consumption through BI tools, dashboards, analytics platforms, and APIs.

Location: Full remote from the United States.

Company

hirify.global is an IT consultancy firm delivering software, AI, ML, BI, web, and automation solutions for startups and established organizations across multiple industries.

What you will do

  • Design and develop scalable ETL/ELT pipelines and data workflows.
  • Build and optimize data models, data lakes, and data warehouse solutions.
  • Automate data pipelines using CI/CD practices and monitor job reliability.
  • Troubleshoot data failures and performance issues.
  • Enable data consumption for BI tools, dashboards, analytics teams, and APIs.
  • Collaborate with technical and business stakeholders to support analytical needs.

Requirements

  • Strong experience with data engineering concepts, ETL/ELT design, and data modeling.
  • Advanced proficiency in Python and SQL, including SQL-based data transformation and analysis.
  • Experience designing and managing data lakes and data warehouses.
  • Experience working with structured and semi-structured formats such as CSV, JSON, and Parquet.
  • Understanding of CI/CD practices, data pipeline automation, and scalable data processing.
  • Strong analytical, problem-solving, and stakeholder collaboration skills.

Nice to have

  • Knowledge of Java or Scala.
  • Experience supporting BI, analytics, or API-driven data solutions.
  • Familiarity with cloud-based data platforms.
  • Experience with large-scale data processing and optimization.

Culture & Benefits

  • Full-time position with a fully remote work arrangement.
  • Opportunity to work on projects across telecom, energy, banking, insurance, pharma, automotive, industrial, and e-commerce sectors.
  • Work across fixed-price and time-and-materials delivery models.

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