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Data Engineer

1 month ago
Poland, Serbia, Georgia
Full-time
Senior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure CI/CD CloudFormation Databricks GCP MLOps Python SQL Terraform
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Remedy Product

Remedy Product

Remedy Product Studio supports founders and established companies in building the next generation of great digital products. Remedy Product Studio works on digital product strategy, software execution, launch, and investment. Early stage companies part...

Professional Services
51-250
Founded 2012
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Description

  • Design, develop, and maintain scalable ETL/ELT pipelines and end-to-end data workflows.
  • Optimize data storage, processing, and retrieval using cloud-based technologies with a strong focus on AWS.
  • Work with structured and unstructured data across databases and data lakes to support analytics and operations.
  • Ensure data integrity, security, and compliance with industry standards and best practices.
  • Collaborate with product managers, engineers, and analysts to define data requirements and support analytics and machine learning initiatives.
  • Monitor and improve data infrastructure performance to ensure reliability and scalability.
  • Implement and maintain data governance, quality, and observability practices.
  • Design and optimize data models and develop robust data injection processes to ensure seamless data flow across systems.

Requirements

  • 5+ years of experience in data engineering or a related field.
  • Strong expertise in AWS data services (e.g., Redshift, Glue, Athena, S3, Lambda, Kinesis).
  • Experience with big data technologies such as Apache Spark and Apache Airflow or similar tools.
  • Strong hands-on experience in Python.
  • Strong knowledge of SQL, data modeling, and schema design.
  • Knowledge of CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation) is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
  • Fluent English (B2) with both written and spoken proficiency for clear communication with native speakers.
  • Nice to have: experience with real-time data streaming and event-driven architectures, exposure to machine learning workflows and MLOps, knowledge of security and compliance standards, and experience with GCP or Azure (e.g., BigQuery, Databricks, Azure Data Factory).

Benefits

  • Competitive compensation package.
  • Vacation leave of 20 working days per year and 4 sick days per year.
  • Opportunities for career and professional growth with access to senior engineers for mentorship.
  • English classes with on-staff teachers and internal English clubs.
  • Possibility to work remotely or from a coworking space.
  • Company-provided MacBook as a working environment.
  • Collaborative, team-based work environment with team-building events and sponsored company outings and social events.

Interested in this position?

Apply directly on the company website

Apply Now

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