Requirements

Expected technologies

Python

SQL

Spark

Airflow

AWS

Cloudera

Docker

Java

Scala

Optional technologies

Kubernetes

Kafka

Hadoop

Iceberg

Operating system

Windows

macOS

Our requirements

• 5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems.
• Strong programming skills in Python or Java/Scala: writing a clean code, OOP design.
• Experience in designing and implementing data governance and data management processes.
• Familiarity with Big Data technologies like Spark, Cloudera, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi.
• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS).
• Excellent understanding of dimensional data and data modeling techniques.
• Excellent communication skills and consulting experience with direct interaction with clients.
• Ability to work independently and take ownership of project deliverables.
• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
• Fluent English (C1 level) is a must.

Your responsibilities

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Hadoop, Iceberg.
• Design and implement data management and data governance processes and best practices.
• Contribute to the development of CI/CD and MLOps processes.
• Develop applications to aggregate, process, and analyze data from diverse sources.
• Collaborate with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building.
• Develop and organize data transformations using DBT and Apache Airflow.
• Translate business requirements into technical solutions and ensure optimal performance and quality.