Назад
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4 дня назад

Data & AI Engineer

67 120 - 100 680$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Canada
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
Data & AI Engineer (Python/Scala/Spark): Designing and building scalable data platforms and productized pipelines for AI products with an accent on distributed processing, real-time data delivery, and data quality. Focus on automating workflows, profiling performance, validating data, and optimizing cloud workloads and costs.

Location: Hybrid in Mississauga, Canada — 3 days in the office and 2 days remote.

Pay range: $67,120–$100,680 annual, plus a target performance-based annual cash incentive equal to 5% of base pay.

Company

hirify.global develops smart solutions that anticipate customer and partner needs and address operational challenges.

What you will do

  • Design and implement data platforms supporting AI products.
  • Develop productized, parameterized, high-volume, and real-time data pipelines using GPUs and CPUs.
  • Develop data transformation code with Spark in Python and Scala, as well as Dask.
  • Build automated data pipeline workflows with Python and Argo.
  • Develop data validation tests, conduct performance testing and code profiling, and assess input data quality.
  • Operationalize scalable pipelines for data science and advanced analytics while optimizing cloud workloads and service costs.

Requirements

  • Bachelor’s degree or above in Computer Science or Engineering.
  • At least 1 year of programming experience with Python, Scala, or Go.
  • At least 1 year of experience with SQL and data transformation.
  • At least 1 year of experience developing distributed systems with open-source technologies such as Spark.
  • At least 1 year of experience building agents, with a complete understanding of ontology and data security.
  • At least 1 year of experience with relational or NoSQL databases running in Linux environments, including MySQL, MariaDB, PostgreSQL, MongoDB, or Redis.
  • Strong understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools such as Azure Data Factory, Informatica, and Airflow.
  • Strong verbal and written communication skills, including effective communication with clients and internal teams.

Nice to have

  • Experience working with Azure or GCP environments.
  • Experience with data models in the retail and consumer products industry.
  • Experience working on agile projects and understanding of agile concepts.
  • Ability to learn new technologies quickly and independently.
  • Ability to work toward stretch goals in an innovative, fast-paced environment.
  • Ability to collaborate in a diverse team environment.

Culture & Benefits

  • Collaborative environment focused on innovation, curiosity, caring, and inclusion.
  • Healthcare, wellness offerings, inclusion networks, and continued learning and development.
  • Community service days, traditional insurance, parental leave, employee assistance, and paid time off offerings depending on the country of employment.
  • Employment includes a target annual performance-based cash incentive equal to 5% of base pay.

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