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 a strong data engineering background with AWS expertise and experience with big data technologies. Responsibilities include developing ETL/ELT pipelines, optimizing data storage, ensuring data integrity and compliance, and collaborating on data requirements. The role requires 5+ years of experience in data engineering, strong AWS skills, and proficiency in SQL and Python. Excellent communication and problem-solving skills are essential. Remedy offers a competitive compensation package including paid time off, medical insurance, and professional development opportunities.

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
• 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 skills used for clear and active communication with native speakers

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 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
• Experience with GCP or Azure is a plus (BigQuery, Databricks, Azure Data Factory, etc.)

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