Senior Lead Business Intelligence Engineer

Há 5 dias

Ribeirão Preto, São Paulo, Brasil beBeeData Tempo inteiro R$120.000 - R$140.000
Job Overview

The Senior Lead Data Engineer plays a pivotal role in optimizing data pipelines and integrations across business intelligence reporting environments for EEMEA and LATAM regions.

This position focuses on supporting JD Edwards (JDE) and Clarity BI systems to ensure consistent, clean, and unified data for operational and analytical purposes.

Key Responsibilities:

  • Design, build, and optimize data pipelines integrating ERP (JDE) 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 Extract-Transform-Load (ETL)/Extract-Load-Transform (ELT) processes, ensuring high data quality, proper mapping, cleansing, and transformation logic.
  • Act as Subject Matter Expert (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.
Requirements

Required:

  • 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 Enterprise Resource Planning (ERP) systems, including data extraction and integration.
  • Proficiency in SQL, Databricks, Azure Synapse, Microsoft Fabric, and Power BI.
  • Previous experience in Data Engineering roles.

Preferred:

  • Previous experience in the medical devices industry.

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