Compass
Compass
Compass ir nekustamā īpašuma un mediju uzņēmums, kas palīdz cilvēkiem orientēties mājokļu tirgū. Tā saturs un pakalpojumi aptver tirgus analīzi, mājokļa iegādi, pārdošanu un īri, hipotekāros kredītus un finansēšanu, īpašumu vērtēšanu, pieejamu mājokli, ieguldījumus nekustamajā īpašumā, mājokļa sagatavošanu pārdošanai, uzturēšanu un renovāciju. Uzņēmums apkalpo mājokļu pircējus, pārdevējus, īrniekus, nekustamā īpašuma aģentus un investorus, piedāvājot praktiskus ceļvežus un aktuālu informāciju par mājokļu tirgu, kas palīdz pieņemt lēmumus visā īpašuma dzīves ciklā.

Data Engineer — Remote in Brazil

Design and maintain scalable data architectures, pipelines, and cloud analytics platforms. This full-time remote role in Brazil focuses on data quality, governance, and collaboration across technical and business teams.

Apraksts

  • Design and evolve secure, scalable data architectures.
  • Build and maintain data ingestion, integration, processing, and delivery pipelines.
  • Develop Data Lake, Data Warehouse, and analytics environments.
  • Maintain data quality, traceability, security, and governance.
  • Connect data across corporate systems, applications, and other sources.
  • Help establish data architecture standards, practices, and strategies.
  • Improve data storage, transformation, and consumption processes.
  • Work with business, analytics, BI, data science, and technology teams on data-driven solutions.
  • Provide technical guidance on data initiatives and support multidisciplinary teams.
  • Contribute to the design, implementation, and evolution of modern cloud data platforms.

Prasības

  • A bachelor’s degree in information technology, data science, engineering, mathematics, statistics, physics, chemistry, or a related field.
  • Experience in data engineering and data solution architecture.
  • Knowledge of data modeling and systems integration.
  • Experience building and maintaining ETL/ELT pipelines.
  • Advanced SQL skills.
  • Experience processing and transforming large data volumes.
  • Knowledge of data governance, quality, and security.
  • Experience with Data Lake and Data Warehouse environments.
  • Knowledge of cloud data platforms and services.
  • Ability to collaborate with technical teams and business functions.
  • Databricks certifications or training.
  • Experience with SAP Datasphere.
  • Experience with Cognite.
  • Experience with Dataiku.
  • Knowledge of Python for data engineering and automation.
  • Experience with modern data and analytics architectures.
  • Experience leading or coordinating data teams.
  • Knowledge of DataOps, Git, and agile methodologies.
  • Candidates must state whether they have completed a degree in an IT-related field.
  • A résumé is required to apply.

Priekšrocības

  • Open to candidates with disabilities.
  • Remote work.

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