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Onzze

A melhor maneira de recrutar programadores

Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 1-10Since 2021H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

69 days ago

Salary

0

Seniority

Senior

Job Description

Data Engineer

Onzze

• Data architecture and engineering • Design and implement scalable, reliable data pipelines • Structure data lakes / data warehouses to support CRM use cases • Ensure data performance, governance and quality • Integrate data from multiple sources (Salesforce, Marketing Cloud, internal systems, digital channels) • Structure customer data (profile, behavior, interactions, transactions) • Ensure consistency and unification of the 360° view of the customer • Make data available for segmentation and activation in CRM tools • Build and maintain data extensions / tables for campaigns • Support automated flows with up-to-date, reliable data • Prepare data for propensity, uplift, churn and LTV models • Operationalize consumption of model outputs (scores, segments, next best action) • Ensure recurring updates and integration with activation systems • Implement validations, monitoring and quality alerts • Document pipelines and data structures • Ensure compliance with data and privacy policies • Collaborate with data scientists, CRM analysts and business teams • Translate business needs into scalable technical solutions • Support the evolution of the client's data architecture

Job Requirements

  • Strong experience in data engineering (ETL/ELT, pipelines, data modeling)
  • Experience with CRM projects (Salesforce and/or Marketing Cloud)
  • Advanced SQL proficiency
  • Experience with languages such as Python or Scala
  • Experience with orchestration tools (Airflow, etc.)
  • Experience with cloud platforms (AWS, Azure or GCP)
  • Knowledge of data warehouse / data lake technologies (e.g., Snowflake, BigQuery, Redshift)
  • Plus: experience with Customer Data Platforms (CDPs)
  • Experience with real-time data ingestion (streaming)
  • Familiarity with Salesforce integration tools (APIs, connectors)
  • Experience with data governance (LGPD, etc.)

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