Lead AI Data Software Engineer

New
E
EPAMAI data engineering
Opportunity to work remotely within PolandFull-TimeLead
Salary not disclosed
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Job Details

Languages
Exceptional oral and written communication skills in English (B2+)
Experience
5+ years of experience in software development with Data Software Engineering technologies
Required Skills
PythonAgileGCPAmazon Web ServicesAzureData engineeringNosqlSparkDatabricks

Requirements

  • Have 5+ years of experience in software development with Data Software Engineering technologies.
  • Have advanced knowledge of Python.
  • Have extensive experience with Spark and Databricks.
  • Have experience with cloud platforms such as Azure, Amazon Web Services, or Google Cloud Platform.
  • Have experience using AI development tools such as Claude Code, GitHub Copilot, or Cursor.
  • Have experience managing small and mid-size teams using Agile methodology.
  • Be able to explain technological solutions in a simple, business-oriented way.
  • Hold a bachelor's degree in Computer Science, Mathematics, or a related technical field, or have equivalent practical experience.
  • Have exceptional oral and written communication skills in English at B2+ level.
  • Agentic AI solutions experience is a plus.
  • Experience with Kafka or other message queues and large data transfer applications or middleware is preferred.
  • Production experience with Solr, OpenSearch, or Lucene is advantageous.
  • Knowledge of Scala or Java is a plus.

Responsibilities

  • Develop and implement analytical solutions using cloud-native, data, and NoSQL technologies.
  • Develop cloud, on-premise, and hybrid solutions using data frameworks.
  • Drive AI adoption.
  • Work with product and engineering teams to understand requirements and evaluate features and architecture.
  • Build partnerships with architects, technical leads, and individuals across functional groups.
  • Analyze business problems and technical environments to design technical solutions.
  • Participate in code reviews and test solutions against best-practice specifications.
  • Mentor team members and provide tools and motivation to support the team.
  • Write project documentation.
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