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4 дня назад

Sr. Data Modeler

109 500 - 150 600$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Sr. Data Modeler (AWS/Snowflake): Designing enterprise data models, data warehouses, and scalable ingestion pipelines across AWS and Snowflake with an accent on dimensional modeling, Medallion Architecture, streaming ingestion, and AI-assisted development. Focus on optimizing high-volume data processing, building performant data lakes, and aligning ELT/ETL pipelines with analytics requirements.

Location: USA - Remote

Salary: $109,500–$150,600 per year, depending on experience.

Company

hirify.global is an environmental services company providing recycling, waste, hazardous waste, special waste, and field services across North America.

What you will do

  • Design and implement Medallion Architecture, dimensional models, Star and Snowflake schemas, and metadata-driven models for enterprise data warehouses.
  • Develop canonical and semantic data models with slowly changing dimension handling aligned to business and analytics requirements.
  • Build and optimize SQL workloads in Snowflake and develop scalable data warehouses and data lakes on AWS S3.
  • Design ingestion and streaming pipelines from relational databases, file shares, web services, Kinesis, and Kafka.
  • Use AWS Glue, EMR, Athena, Spark, Python, and Informatica for data engineering and analytics.
  • Participate in requirements definition, data and system architecture, and the full software development lifecycle within Agile teams.

Requirements

  • 7+ years of experience in enterprise information solution architecture, design, development, and integration architectures.
  • 5+ years of experience with data modeling tools such as sqlDBM, ERWIN, or Lucid.
  • 5+ years of hands-on experience with AWS data and analytics services, including S3, Kinesis, Lambda, Athena, Glue, and EMR.
  • At least 5 years of experience in data ingestion, extraction, and integration, plus experience with relational and NoSQL databases.
  • Strong experience with Snowflake, SQL, Python, JavaScript, Java, JSON or XML data modeling, Git/GitHub, and database performance.
  • Bachelor’s degree in computer science, information systems, engineering, statistics, or a related field. This position is not sponsorship eligible.

Nice to have

  • Experience with machine learning and artificial intelligence.
  • Experience championing responsible AI-assisted development practices and coaching engineers in their use.
  • Experience with SAS, R, advanced statistical software, content or knowledge management systems, search engines, geospatial systems, or semantic technology.

Culture & Benefits

  • Full-time employment within an Agile, collaborative organization.
  • Medical, dental, and vision coverage, plus health care and dependent care spending accounts.
  • Short- and long-term disability, life insurance, accidental death and dismemberment insurance, and an employee assistance program.
  • Retirement plan with company match and an employee stock purchase plan.
  • Paid time off and employee discount programs.

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