Data Engineer (AI)

TL;DR

Data Engineer (AI): Designing and implementing scalable data architectures and ETL pipelines for machine learning systems with an accent on demand planning and budget forecasting. Focus on optimizing cloud-based systems, automating data workflows, and integrating Generative AI solutions for e-commerce.

Location: Remote (Global - Work from anywhere)

Company

hirify.global is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies for demand planning and budget forecasting.

What you will do

• Design and implement ETL processes, optimize queries, and automate data pipelines.
• Build and maintain scalable, high-performance data architectures.
• Collaborate with the team to define goals and deliver custom data solutions.
• Develop internal tools and assist in technical migrations and model design.
• Ensure code quality through reviews, documentation, testing, and CI/CD integration.
• Own projects end-to-end, from building to improving data systems for clients.

Requirements

• Experience in Data Engineering, including building and optimizing data pipelines.
• Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
• Experience working with cloud platforms such as AWS, GCP, or Azure.
• Basic knowledge of Docker.
• Experience with orchestration tools like Airflow or Prefect.
• Familiarity with ETL processes and automation.

Nice to have

• Experience with stream processing tools like Kafka Streams, Kinesis, or Spark.
• Solid command of English for understanding and communicating technical concepts.

Culture & Benefits

• Remote-first culture with the ability to work from anywhere.
• Fully covered certifications for AWS, DBT, Google Cloud, Azure, and Databricks.
• Additional vacation week (Mutt Week) and birthday off.
• In-company English lessons and sports club or Wellhub stipend.
• Food credits via Pedidos Ya.
• Annual team getaway (Mutters' Trip) and referral bonuses.