Remote Customer Integration Engineer

Summary

Join Focal Systems as a Customer Integration Engineer (Data Engineer) and play a crucial role in transforming diverse customer data into standardized, high-quality datasets. As a fully remote position in Poland, you will work with the sales team to smoothly integrate new customers into our system and manage optimal roll-out timelines.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering or related field
• 5+ years of experience in data engineering with a focus on data transformation and integration
• Proficiency in at least three of the following database technologies: MySQL, Redis, Google BigQuery, MongoDB
• Strong skills in data profiling, cleansing, and transformation techniques
• Proficiency in Python and SQL for complex data manipulation and transformation
• Experience with ETL tools and frameworks for large-scale data processing
• Demonstrated ability to handle diverse data formats (e.g., CSV, JSON, XML, APIs)
• Advanced knowledge of SQL for complex data transformations and query optimization
• Expertise in data modeling and schema design for efficient data storage and retrieval
• Strong analytical and problem-solving skills, particularly in resolving data inconsistencies
• Experience with data mapping and reconciliation between different data models
• Proficiency in writing efficient and scalable data transformation scripts
• Excellent attention to detail and commitment to data accuracy

Responsibilities

• Partner with the sales team to smoothly integrate new customers into our system and manage optimal roll-out timelines
• Design and implement data transformation processes to convert customer data into our required formats and schemas
• Analyze complex customer data structures and formats to determine optimal transformation strategies
• Develop and maintain ETL pipelines for efficient customer data ingestion and transformation
• Perform thorough data quality assessments and implement data cleaning procedures to ensure accuracy and consistency of transformed data
• Optimize data transformation queries and processes for improved performance across multiple database technologies
• Collaborate with cross-functional teams to understand customer data requirements and deliver effective transformation solutions
• Create and maintain documentation for data transformation processes and mappings
• Implement data validation checks to ensure transformed data meets our specification

Benefits

• Competitive Salary & Attractive Stock
• Paid Time Off
• Quarterly Team Retreats
• Opportunity to work on challenging customer data transformation projects
• Access to modern data processing tools and technologies
• Professional development opportunities and conference attendance