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TENTENS Tech

Middle 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 queries for 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 3 years of experience as a Data Engineer in production environments with real workloads.
  • Ability to formulate and advocate for technical decisions.
  • Willingness to take responsibility for the results of a workstream, not only personal code.
  • Proactively share knowledge with colleagues and conduct valuable code reviews.
  • Take ownership of the role, understand the broader context, and proactively set priorities.

Responsibilities

  • Build and scale reliable ETL/ELT processes for collecting and processing user activity data.
  • Design cloud data warehouses and analytical architectures using modern data tools, including 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 in a Data Analyst role and understanding of data consumers’ needs.
  • Experience as a Python Engineer outside a data context.

About the Company

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