Data Engineer (Python)

TL;DR

Data Engineer (Python): Building and optimizing advanced data solutions for diverse industries with an accent on cloud technologies, big data platforms, and analytics tools. Focus on designing, developing, and maintaining squad-specific data architectures and pipelines, and transforming raw data into actionable insights.

Location: Remote within Europe, including Ukraine

Company

hirify.global is an outsourcing company providing advanced data solutions for diverse industries.

What you will do

• Collaborate with clients and internal teams to clarify technical requirements and expectations.
• Implement data architectures using Azure or AWS cloud platforms.
• Design, develop, optimize, and maintain squad-specific data architectures and pipelines.
• Discover, analyze, and organize disparate data sources into clean, understandable data models.
• Evaluate new tools for analytical data engineering or data science.
• Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes.

Requirements

• 3+ years of experience in data engineering.
• Hands-on experience with cloud computing services in data and analytics (AWS and/or Azure).
• Proficiency in Python and PySpark for large-scale, distributed data processing.
• Advanced SQL skills and knowledge of big data databases (Snowflake, Redshift, etc.).
• Strong knowledge of Databricks for big data analysis, transformations, and orchestration.
• Understanding of streaming approaches (Kafka, Spark Structured Streaming).
• English: Upper-Intermediate+ required.

Culture & Benefits

• Diversity of domains and technologies.
• Health & legal support.
• Continuous education and growth opportunities.
• Flexible schedule and remote work options.
• Outstanding offices (if chosen).
• Sports and community activities.