[Hiring] Data Engineer @SmartCat

Role Description

We are seeking a talented Medior/Senior Data Engineer to join our team. In this role, you will build and optimize our data lakehouse infrastructure using Spark and Databricks, designing and implementing robust, scalable data pipelines and ensuring the efficient processing and storage of large datasets.

• Design, build, and maintain scalable data pipelines using Apache Spark and modern data platforms.
• Develop and optimize data lakehouse architectures to support data analytics and machine learning workflows.
• Implement data models and structures that ensure data quality, consistency, and accessibility.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Help ensure data security and compliance with relevant regulations.
• Monitor and troubleshoot data pipeline performance and reliability.
• Continuously improve data engineering processes and best practices.
• Collaborate with cross-functional teams and contribute to technical discussions.
• At the Senior level, you'll also provide technical guidance and mentor junior engineers.

Qualifications

• Experience with Python or Scala/Java.
• Advanced knowledge of SQL.
• Hands-on experience with Apache Spark, Databricks, Snowflake, or Microsoft Fabric.
• Understanding of data lakehouse concepts and architecture.
• Grasp of distributed systems fundamentals.
• Data modeling and data warehousing skills.
• Experience with cloud-native data architectures on AWS, Azure, or GCP.
• You enjoy learning new things and trying different solutions.
• You value a healthy work-life balance; we don't like overtime.
• You know when and how to ask for help; we work together as a team.

Requirements

• Nice to have: Kafka, Flink, or similar streaming technologies.
• Kubernetes.
• Machine Learning.

Benefits

• Clearly defined pay grades: from L1 (talented junior) to L10 (principal).
• The career path that connects these grades — you know where your life is going (at least here with us).
• Loyalty coefficient: 10% on net compensation after 3 years in SmartCat, 20% after 5 years.
• Knowledge budget.
• Flexible working hours and work from home.
• We are transparent — from L-levels to salary, strategy, financial reports, and beyond.
• You will have our full support towards gaining expertise.