Data Analytics Engineer

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Описание

The Data Analytics Engineer II operates as a fully independent contributor on data pipelines and data models of moderate complexity, supporting the cross-brand data, reporting, and analytics needs of Booking Holdings. This role takes end-to-end ownership of well-scoped deliverables—from ingestion through transformation to enablement of reporting—within an established framework set by senior peers and the Solutions Architect. Success in this role means consistent, high-quality delivery on data products for the business areas served by the team (such as Finance, FP&A, Treasury, Procurement, Market Intelligence and others), while building a strong foundation in the team's tooling (Snowflake, dbt, Dagster, Python, AWS, Terraform) and growing technical judgment under guidance from Senior Engineers and the Solutions Architect. This role provides a hybrid way of working with an onsite presence of 2 days/week. Key Job Responsibilities and Duties Pipeline Development: Builds and maintains data ingestion, transformation, and orchestration pipelines on Snowflake, dbt and Dagster (or Airflow/equivalent) under established team standards, ensuring data is delivered on time and to agreed quality. g. Data Vault) is a plus. Python for Data Analytics Engineering: Writes clean, testable Python—including object-oriented code—for Dagster assets, sensors and IO managers, as well as for general Data Analytics Engineering tasks. ), with awareness of the relevant business semantics. Quality, Testing & Monitoring: Writes tests (dbt tests, custom checks), implements basic data quality monitoring, and proactively investigates anomalies for the pipelines they own. Operational Excellence (Awareness Level): Works within the team's CI/CD, Git, Docker, and Terraform setup with growing independence; contributes to infrastructure-as-code and DataOps practices under guidance of senior peers. Collaboration: Partners daily with other Data Analytics Engineers, the Reporting team, Business Analysts and the Product Manager to translate requirements into pragmatic technical solutions, escalating ambiguity early. Doc

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