We are looking for a Senior Data Engineer specialized in Python, PySpark, AWS, and data to join our clients dynamic team. You will play a key role in designing, optimizing, and improving data pipelines for the ingestion, enrichment, and exposure of classified and transactional data on AWS. You will work directly under the supervision of a Data Engineering Team Lead, who will organize tasks and ensure the smooth delivery of the project.
Tasks

• Pipeline Optimization:
  

Analyze and improve existing data pipelines to optimize performance, cost efficiency, and scalability.

• Pipeline Transformation:
  

Transition batch/snapshot pipelines to delta-based data processing pipelines.

• Infrastructure as Code:
  

Develop and maintain Terraform modules for efficient infrastructure management on AWS.

• Pipeline Migration:
  

Migrate data pipelines from Google Cloud Platform to AWS while minimizing downtime and ensuring high reliability.

• Monitoring and Alerts:
  

Design and implement DataDog dashboards and alerting systems to enable proactive monitoring of data pipeline performance.

• Technology Watch & Innovation:
  

Stay up to date with emerging technologies and actively promote relevant innovations and improvements within the team.

• Mentoring & Team Support:
  

Support and guide junior team members, share expertise and best practices, and contribute to the overall growth of the team.
Requirements
Required Technical Skills:

• AWS: Strong hands-on experience with AWS services such as S3, ECS, etc., with particular emphasis on Lambda and Glue.
• Python: Advanced Python skills for data manipulation, scripting, and pipeline development.
• PySpark: Solid experience building scalable and distributed data pipelines using PySpark.
• SQL: Strong command of SQL for querying and transforming large datasets.
• Terraform: Experience designing and managing infrastructure using Terraform. Knowledge of Terragrunt is a plus.
• CI/CD (CircleCI): Experience configuring and maintaining pipelines to support automation and deployment workflows.
• DataDog: Knowledge of DataDog for monitoring, alerting, and dashboard creation.
  

Desired Qualities

• Autonomous in project management, with strong ownership of production infrastructure and data access.
• Open-minded and driven by innovation and continuous improvement.
• Pragmatic, solution-oriented, and able to adapt quickly.
• Strong focus on code quality and adherence to best practices.
• Ensures high-quality testing and maintains a customer-focused approach.
  

Join a fast-scaling tech platform revolutionizing marketplaces at scale. Work with elite engineering teams on mission-critical AI, data, and optimization challenges.
Extremely competitive comp + equity. Bucharest or Belgrade offices.
Apply to build the future of intelligent platforms.
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