data engineer for distributed data platforms

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. It helps enterprise companies address technical challenges and achieve business outcomes during business transformation.

• Design, develop, and maintain scalable data processing pipelines using Apache Spark;
• Ensure the accuracy and efficiency of statistical algorithms implemented in production;
• Collaborate with global engineering teams on distributed data architecture and design;
• Work with large-scale distributed systems such as Hadoop, Kafka, and Cassandra for data ingestion and processing;
• Contribute to building and optimizing Data Lakes and Data Warehousing solutions;
• Support and enhance CI/CD workflows, infrastructure automation, and deployment processes.

• Python;
• Bash scripting;
• AWS Cloud, including S3, Lambda, StepFunctions, CloudFormation, CloudWatch, IAM, Redshift, Glue, EMR, VPC, LoadBalancers, MWAA, KMS, Secret Manager, Athena, SQS, ECS, ECR, and RDS;
• Airflow;
• Apache Spark and PySpark;
• Iceberg;
• SQL;
• Familiarity with REST API;
• Nice to have: Backend engineering experience.

• Competitive salary;
• Flexible schedule;
• Medical insurance and sports benefits;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.