data engineer for large-scale data platforms

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations solve complex technical challenges and achieve business outcomes through expertise in data, analytics, cloud and DevOps, application modernization, and customer experience.

• Design, develop, and optimize data pipelines using Scala and Spark;
• Build and maintain infrastructure for large-scale data processing and reporting;
• Implement and validate algorithms to ensure statistical accuracy for business stakeholders;
• Work with distributed computing frameworks and cloud-native architectures;
• Collaborate with a globally distributed engineering team on end-to-end data solutions;
• Contribute to Data Lake and Data Warehouse implementations;
• Support CI/CD pipelines and infrastructure-related tasks as needed.

• Strong proficiency in Scala;
• Hands-on experience with Spark and Spark Streaming;
• Familiarity with Kubernetes, particularly running Spark on Kubernetes;
• Experience with Hive and/or Apache Iceberg;
• Practical knowledge of Apache Airflow for workflow orchestration;
• Solid SQL skills, including SparkSQL, window functions, and complex GROUP BY scenarios;
• Understanding of distributed computing technologies, patterns, and best practices;
• Experience with processing frameworks such as Kafka and Dataframe/SQL API;
• Familiarity with database engines: Oracle, PostgreSQL, Teradata, or Cassandra;
• Nice to have: Experience with Apache Flink, background in CI/CD pipelines and DevOps tooling, experience implementing Data Lakes, Data Warehouses, or analytics platforms, hands-on experience with Hadoop, familiarity with Claude (Anthropic) or other AI/LLM tooling.

• Competitive salary;
• Flexible schedule;
• Benefits package including medical insurance and sports;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.