Data Developer (Data Engineering)

TL;DR

Data Developer (Python/SQL): Building and optimizing modern data pipelines and scalable infrastructures for demand planning and budget forecasting with an accent on performance and scalability. Focus on integrating diverse data sources, researching new infrastructure tools, and collaborating with cross-functional teams to enhance AI-driven decision-making.

Location: Remote (Work from anywhere)

Company

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

What you will do

• Implement modern data pipelines for diverse data sources, ensuring scalability and performance.
• Research and develop new technologies, tools, and best practices to improve infrastructure and capabilities.
• Collaborate with cross-functional teams to ensure smooth integration of data systems with existing workflows.

Requirements

• Knowledge of SQL (or NoSQL) and Python.
• Experience in software projects focused on Data Engineering or Machine Learning.
• Proficiency in English.

Nice to have

• Knowledge of Docker.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with OOP, design patterns, modularization, and testing.

Culture & Benefits

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