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8 месяцев назад

Data Engineer (AI)

Формат работы
remote
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
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 Engineer (AI): Designing and maintaining the infrastructure and processes for the collection, storage, and analysis of large datasets with an accent on data quality and performance. Focus on data pipeline optimization, collaboration with ML engineers and data analysts, and supporting data-driven decision-making.

Location: Based somewhere between the GMT-3 and GMT+2 timezones

Company

hirify.global is an AI-powered sales platform that helps B2B companies generate more opportunities thanks to our advanced lead generation engine, hyper-personalized sequencing, omnichannel outreach, and AI-powered smart actions.

What you will do

  • Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources.
  • Develop and maintain data models and schemas to support data analysis and reporting.
  • Write and maintain ETL jobs to extract, transform, and load data into our data warehouse.
  • Collaborate with ML engineers, data analysts, and other stakeholders to understand data requirements and develop solutions to support data-driven decision-making.
  • Monitor and optimize data pipelines and processes to ensure data quality and performance.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 3+ years of experience as a Data Engineer or similar role.
  • Strong programming skills in Python, Java, or a similar language.
  • Experience with SQL and data modeling concepts.
  • Experience with cloud-based data warehousing solutions such as Redshift, BigQuery, or similar.
  • Experience with ETL tools such as Spark, Flink, Databricks, Snowflake, etc.
  • Experience with messaging systems such as RabbitMQ, Kafka, etc.
  • Knowledge of the underlying cloud infrastructure on how the various data pipeline components fit together.
  • Excellent problem-solving and communication skills.
  • Based somewhere between the GMT-3 and GMT+2 timezones

Culture & Benefits

  • Nice work environment
  • Competitive Salary
  • Health Insurance
  • Stock Options
  • Annual Company Trip in a secret location

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