Senior Data Engineer - Databricks

Ultra Tendency
Seoul
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Collaboration","Knowledge sharing","Data quality focus","Performance optimization mindset"]

Design and implement scalable data pipelines on the Databricks Lakehouse Platform, using Apache Spark and Delta Lake for batch and streaming workflows. Optimize performance and cost, and help deliver production-ready solutions by translating business and data requirements. Partner with data engineers, data scientists, and architects to strengthen data quality, governance, and security, while contributing to knowledge sharing and support for junior engineers within a hybrid Seoul team.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Ultra Tendency
Ultra Tendency
2 days ago

Senior Data Engineer - Databricks

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and implement scalable data pipelines on the Databricks Lakehouse Platform, using Apache Spark and Delta Lake for batch and streaming workflows. Optimize performance and cost, and help deliver production-ready solutions by translating business and data requirements. Partner with data engineers, data scientists, and architects to strengthen data quality, governance, and security, while contributing to knowledge sharing and support for junior engineers within a hybrid Seoul team.
Location: Seoul
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform with Apache Spark and Delta Lake.
  • •Develop and optimize batch and streaming data workflows for analytics, machine learning, and business intelligence applications.
  • •Translate business and data requirements into reliable, production-ready data solutions with cross-functional teams.
  • •Improve performance and cost efficiency of data processing workloads within the Databricks environment.
  • •Support data quality, governance, and security best practices, and contribute to knowledge sharing and junior engineer development.

Pay and Benefits

Perks:Hybrid WorkLearning Budget

Key Requirements

  • •Strong experience with Databricks and Apache Spark (PySpark, SQL or Scala).
  • •Experience building data platforms on major cloud providers (AWS, Azure, or GCP).
  • •Solid understanding of distributed data processing, data modeling, and performance optimization.
  • •Experience with CI/CD pipelines and version control tools such as Git.
  • •Familiarity with orchestration frameworks such as Airflow or Databricks Workflows, plus strong English and Korean communication skills.
Skills:CommunicationCollaborationKnowledge sharingData quality focusPerformance optimization mindset
Languages:EnglishKorean
Tech Stack:DatabricksApache SparkDelta LakePySparkSQLScalaAWSAzureGCPGitCI/CDAirflowDatabricks WorkflowsApache KafkaApache NiFiTerraformAnsibleStreamingMachine learningBusiness intelligence

Company Brief

Ultra Tendency
Provides creative digital services including branding, web design, social media content, and marketing strategies for brands, creators, and lifestyle businesses.
Industry: Professional Services
Website