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TENTENS Tech

Senior Data Engineer

Data EngineeringUpdated on Nov 7
Full-timeNo salary listed

About the Job

Requirements

  • Deep proficiency in Python and SQL, including building production-ready solutions and optimizing complex queries under real workloads.
  • Practical experience with ETL/ELT orchestration tools such as Airflow, Dataform, or equivalents.
  • Experience with cloud platforms such as GCP, AWS, or Azure.
  • Understanding of data warehousing, including dimensional modeling, partitioning, clustering, and cost control.
  • At least five years of experience as a Data Engineer in production environments with real workloads.
  • Ability to formulate and defend technical decisions.
  • Willingness to take responsibility for the outcome of the area, not only personal code.
  • Proactively support colleagues by sharing knowledge and providing valuable code reviews.
  • Ability to see the broader picture, set an agenda proactively, and take ownership in the role.

Responsibilities

  • Build and scale reliable ETL/ELT processes for collecting and processing user activity data.
  • Design cloud data warehouses and analytics architectures using modern data tools such as BigQuery, Airflow, and Dataform.
  • Ensure high availability, accuracy, and security of data processing, and uphold platform-level data quality standards, including data lineage and observability.
  • Collaborate with analytics, backend, and infrastructure teams to turn raw data into product metrics and actionable insights.

Desired Qualifications

  • Experience as a Data Analyst, with an understanding of data consumers’ needs.
  • Experience as a Python Engineer outside a data context.

About the Company

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