About the role

  • Senior Data Engineer developing and maintaining products for dentsu’s marketing using cloud technologies. Collaborating with teams to solve complex data problems and ensuring driving business value.

Responsibilities

  • Use Agile methodologies and AI tools for rapid feature releases
  • Research and introduce new solutions and technologies, contributing to Snowflake Native App development
  • Follow best practices throughout the development lifecycle: design, implement, test, review, and deliver with CI/CD
  • Coordinate with other teams as part of a larger data-sharing system
  • Engage in quality assurance and thorough testing
  • Communicate effectively, understand business needs, and write clear user and technical documentation
  • Resolve production issues, participate in on-call support, onboard clients, and communicate with client teams
  • Foster a positive and collaborative team environment

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience
  • 4+ years in software development
  • Strong database fundamentals, SQL skills, working knowledge of relational and non-relational data models
  • Proficient with object-oriented programming languages (Java and Python)
  • Experience with big data platforms/warehouses (Snowflake preferred, Hadoop a plus)
  • Proficient in Agile Development, Vibe Coding, Issue Tracking (JIRA), code repositories (Git, Bitbucket), SDLC, testing methodologies, and continuous integration
  • Working knowledge with cloud technologies (AWS preferred, GCP, Azure)
  • Knowledge of data processing workflows (Airflow, Snowflake streams/tasks)
  • Understanding of data structures, algorithms, distributed systems
  • Unix command line skills, Bash scripting

Benefits

  • Health insurance
  • Professional development
  • Flexible work arrangements

Job title

Lead Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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