Template Not Found

Job

Job Details

Data Engineer

31354
  • Negotiable
  • Jamaica, Latin America
  • Contract

We're looking for Data Engineer to join a high-impact transformation project focused on building a fully automated, SOX-governed financial reporting pipeline that integrates an Azure Databricks Lakehouse environment with Workday General Ledger.



This is a unique opportunity to work alongside industry experts, gain deep exposure to enterprise-scale Databricks architecture, and contribute to the delivery of a mission-critical financial data platform.



 



What You'll Be Doing




  • Design, develop, and optimize production-grade ETL pipelines using Azure Databricks, PySpark, and Python

  • Build and manage Delta Lake structures and Unity Catalog governance frameworks

  • Develop Bronze, Silver, and Gold Lakehouse data pipelines with clear lineage and auditability

  • Implement financial data transformation logic, KPI-to-GL mappings, and reconciliation processes

  • Create automated data quality frameworks including validation, completeness checks, duplicate detection, and threshold controls

  • Build REST and SOAP API integrations with robust error handling and monitoring

  • Implement SOX-compliant controls, audit trails, approval workflows, and governance processes

  • Support testing, UAT, reconciliation activities, and production monitoring

  • Develop operational dashboards and reporting layers supporting Finance and business stakeholders

  • Produce technical documentation, runbooks, and handover materials for long-term operational success



 



Required Skills & Experience:



Bachelor's Degree in Computer Science, Data Engineering, Information Technology, Mathematics, or a related field



3+ years of experience in Data Engineering or Analytics Engineering




  • Hands-on experience with:

  • Azure Databricks

  • Databricks Workflows

  • Delta Lake

  • Unity Catalog

  • PySpark

  • Python

  • SQL



 



Experience working with:




  • Azure Data Lake Storage Gen2 (ADLS)

  • Azure Key Vault

  • Azure Data Warehouse environments

  • API integrations (REST/SOAP)



 



Strong understanding of Lakehouse architecture and Bronze/Silver/Gold data modeling



Experience building production-ready ETL pipelines and data quality frameworks



Excellent documentation and communication skills



 



We're looking for professionals who:



?? Take ownership and drive delivery



?? Bridge technical and business conversations effectively



?? Learn quickly in fast-paced environments



?? Have exceptional attention to detail



?? Thrive in collaborative, cross-functional teams



?? Understand governance, compliance, and financial reporting requirements



Laura Martinez Account Manager
Copyright First Point Group 2025
Site by Venn