Senior Data Engineer

New

Skills

Cloud Data Platforms Data Governance Data Modeling Distributed Systems ETL Processes Infrastructure-as-Code Machine Learning Observability Tools Schema Management Testing Frameworks

As a Senior Data Engineer, you will play a pivotal role in building core data platform components, including modeling, pipelines, and storage, while creating production-grade data systems in cloud environments.

Key Responsibilities
  • Build and maintain core data platform components.
  • Develop and implement data modeling for complex domains.
  • Create production-grade data systems and ensure they are robust and reliable.
  • Collaborate with the Data team to execute strategy and turn it into production code.
  • Ensure observability, testing, and proper failure handling in data systems.
  • Prepare data for machine learning workflows.
  • Manage schema changes and distributed failure handling.
  • Contribute to the development of data foundations for AI features with governance.
  • Take ownership from design through deployment.
Required Skills & Qualifications
  • Strong experience with data modeling.
  • Proficiency in cloud data platforms.
  • Knowledge of infrastructure-as-code practices.
  • Experience with data pipelines and ETL processes.
  • Familiarity with machine learning data preparation.
  • Understanding of governance in data management.
  • Experience with observability and testing frameworks.
  • Proficient in handling schema changes and backfills.
  • Strong collaboration skills for working with cross-functional teams.
  • Ability to work remotely, in-office, or in a hybrid setting.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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