Data Engineer

Summary

Join Remedy Product Studios, a rapidly scaling technology company, as a Senior Data Engineer. You will design, implement, and maintain scalable data pipelines and storage solutions, working closely with various teams to ensure efficient data workflows. The ideal candidate possesses strong AWS expertise and experience with big data technologies. This role requires 5+ years of experience in data engineering and strong skills in SQL, data modeling, and Python. Remedy offers a comprehensive compensation package including vacation leave, medical insurance, and professional development opportunities, along with perks like remote work options and a collaborative work environment.

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, etc.)
• Experience with big data technologies such as Apache Spark, Apache Airflow, or similar tools
• Strong knowledge of SQL and data modeling, schema design
• Strong hands-on experience in Python (Scala or Java 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

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and 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 various databases and data lakes
• Ensure data integrity, security, and compliance with industry standards
• Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives
• Monitor and improve data infrastructure performance, ensuring reliability and scalability
• Implement best practices for data governance, quality, and observability
• Develop and maintain robust data injection processes to ensure seamless data flow across systems
• Design and optimize data models to support analytical and operational use cases

Preferred Qualifications

• Experience with GCP or Azure is a plus (BigQuery, Databricks, Azure Data Factory, etc.)
• Knowledge of CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation) is a plus
• Experience with real-time data streaming and event-driven architectures
• Exposure to machine learning workflows and MLOps practices
• Knowledge of security and compliance standards in data engineering

Benefits

• Vacation leave of 20 working days
• Paid Medical insurance
• 4 sick days per year
• Sport compensation
• Personal Growth
• Career and professional growth
• Access to senior engineers for help and mentorship
• English classes with on-staff teachers
• English clubs where you can polish your skills together with teammates
• Paid courses and certificates to raise professional skills
• Possibility for working remote or in Warsaw office
• Macbook provided by company as a working environment
• Work environment based on collaboration and teams
• Team building events on team and group level
• Sponsored company outings and social events