Unlock Business Potential as a Senior Data Engineering Leader

Há 2 dias

Ribeirão Preto, São Paulo, Brasil beBeeDataEngineer Tempo inteiro R$90.000 - R$120.000
Job Overview

We are seeking a seasoned data engineering professional to join our team as Senior Lead Data Engineer.

This role plays a pivotal part in optimizing data pipelines and integrations across business intelligence reporting environments for the EEMEA and LATAM regions.

The successful candidate will focus on supporting JD Edwards (JDE) and Clarity BI systems, ensuring consistent, clean, and unified data for operational and analytical purposes.

The role also involves developing lightweight application solutions to improve business outcomes.

As a subject matter expert in JDE data structures and integrations, you will partner closely with commercial, IT, and analytics teams to enhance data accessibility and performance.

  • Main Responsibilities:
  • Design, build, and optimize data pipelines integrating ERP systems with Clarity BI tools for unified reporting across EEMEA and LATAM.
  • Collaborate with analytics teams to deliver structured, report-ready datasets that meet operational and strategic needs.
  • Lead the implementation of ETL/ELT processes, ensuring high data quality, proper mapping, cleansing, and transformation logic.
  • Act as SME for Clarity pipeline testing and support the LATAM rollout, ensuring alignment with EEMEA standards.
  • Troubleshoot data flow issues, perform root cause analysis, and implement scalable, long-term solutions in partnership with IT.
  • Automate data ingestion and transformation processes using Azure-native tools to increase efficiency and minimize manual tasks.
  • Support application development with tools like Power Apps, improving data collection and process efficiency across business functions.
  • Maintain thorough documentation of data structures, lineage, and architecture while ensuring governance and compliance standards are met.
About You

Requirements:

  • Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a related field, with relevant experience in data engineering and architecture.
  • Fluent in English.
  • Intermediate level of Spanish.
  • Strong experience with ERP systems, including data extraction and integration.
  • Proficiency in SQL, Databricks, Azure Synapse, Microsoft Fabric, and Power BI.
  • Previous experience in Data Engineering roles.

Desirable Qualifications:

  • Previous experience in the medical devices industry.

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