EMPREGO

Senior Data Engineer

CommIT-Ucrânia

We are building a greenfield analytics platform supporting both* batch and real-time data processing. We are looking for a Senior Data Engineer who can design, implement, and evolve scalable data systems in *AWS.

This role combines hands-on development, architectural decision-making, and platform ownership.

Core Responsibilities:

  • Design and implement batch and streaming data pipelines using Apache Spark.:

  • Build and evolve a scalable AWS-based data lake architecture.:

  • Develop and maintain* real-time data* processing systems (event-driven pipelines).

  • Own performance tuning and cost optimization of Spark workloads.:

  • Define best practices for data modeling, partitioning, and schema evolution.:

  • Implement monitoring, observability, and data quality controls.

  • Contribute to infrastructure automation and CI/CD for data workflows.
  • Participate in architectural decisions and mentorother engineers.

Requirements:
Required Qualifications:

  • 5+ years of experience in Data Engineering.

  • Strong hands-on experience with Apache Spark (including Structured Streaming).:

  • Experience building both batch and streaming pipelines in production environments.

  • Proven experience designing AWS-based data lake architectures:S3, EMR, Glue, Athena.:

  • Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis.:

  • Experience implementing lakehouseformats such as Delta Lake.:

  • Strong understanding of partitioning strategies and schema evolution.:

  • Experience using SparkUIand* AWS CloudWatch*for profiling and optimization.

  • Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning).

  • Proven track record of cost optimization in AWS environments.:

  • Experience with Dockerand* CI/CD pipelines.*:

  • Experience with Infrastructure as Code:Terraform, AWS CDK.:

  • Familiarity with monitoring and observability practices.

  • Experience in the Financial domain.:

  • Experience running Spark workloads on Kubernetes.:

  • Experience implementing data quality frameworks or metadata/lineage systems.

  • **English - B2, Ukrainian
  • Native