Backend Engineer (Data Engineering)
Company:Maze
Location:Europe
Languages:English
Seniority level:Lead, 7+ years
Experience:7+ years
Skills:
AWSPythonSQLApache AirflowCloud ComputingData AnalysisETLJavaKafkaAlgorithmsData engineeringData StructuresNosqlSparkCI/CDAgile methodologiesMentoringDevOpsMicroservicesScalaData visualizationData modeling
Requirements:
7+ years of experience in software engineering At least 4+ years focused on data engineering Strong experience with data processing frameworks (e.g., Spark, Kafka, Airflow) Experience with ETL workflows and data modeling Proficiency with SQL and NoSQL databases Experience optimizing queries and database performance Familiarity with cloud data services (e.g., AWS Redshift, S3, Glue, EMR) Familiarity with DevOps practices, including CI/CD for data pipelines Strong coding abilities in Python, Java, or Scala Experience in data manipulation libraries Strong analytical and problem-solving abilities Excellent communication skills and ability to work in a cross-functional team Comfort working in a fast-paced startup environment
Responsibilities:
Design, implement, and maintain scalable data pipelines Architect and develop backend data systems Take ownership of the entire data lifecycle Work closely with engineers, data scientists, and product managers Continuously monitor and improve data processing performance, security, and scalability Define and enforce data quality standards and processing methodologies Quickly prototype and iterate on new data solutions Mentor junior engineers and lead technical discussions
