Data Engineer (Python / PySpark) to $4000

We’re hiring a Data Engineer (Python / PySpark), who brings his professional skills and passion to deliver awesome enterprise solutions.

✅ Knowledge of English at least Upper-Intermediate level.

• Location: Lviv, Ukraine (on-site / hybrid)
• Workplace: Candidate must be based in Lviv or willing to relocate before start
• Note: This position requires the employee to work on-site in Lviv

Responsibilities:

• Design, build, and maintain ETL pipelines for large-scale data processing
• Develop batch and streaming data workflows using Python and PySpark
• Work with cloud data platforms such as AWS Glue, EMR, S3, and AWS Data Pipeline
• Integrate and manage messaging systems like Kafka and RabbitMQ
• Develop and maintain solutions using Hadoop ecosystem components: HDFS, Hive
• Optimize data storage and query performance in relational databases (PostgreSQL, Redshift)
• Containerize data workflows using Docker
• Orchestrate workflows with Airflow
• Implement CI/CD pipelines for data workflows and maintain version control (Git)
• Monitor data pipelines and system performance using Grafana and logging tools
• Ensure data security and access control: encryption, IAM, and compliance best practices
•  

Requirements:

• 4–5+ years experience in Data Engineering
• Strong proficiency in Python and PySpark
• Hands-on experience with ETL pipelines and data modeling
• Knowledge of cloud data services (AWS Glue, EMR, S3, Data Pipeline)
• Experience with messaging systems: Kafka, RabbitMQ
• Familiarity with Hadoop ecosystem: HDFS, Hive
• Strong SQL skills (PostgreSQL, Redshift)
• Experience with Docker and workflow orchestration (Airflow)
• Knowledge of CI/CD and version control (Git)
• Monitoring and logging experience (Grafana)
• Understanding of data security, encryption, and access control
• Analytical mindset and strong problem-solving skills
• Upper-Intermediate English or higher

Nice to Have:

• Experience with multi-cloud environments or hybrid infrastructures
• Familiarity with big data performance tuning (partitioning, memory optimization)
• Experience with real-time streaming data processing
• Knowledge of data governance and compliance standards

What we can offer:

• Full-time flexible working schedule;
• Comfortable, cosy, and well-equipped office;
• Modern working place MacBookPro;
• 18 business days of paid vacation / 20 paid sick leaves / public holidays in Ukraine.
• English lessons