About the job
NEORIS, now part of EPAM, is a digital accelerator that empowers companies to transition into the future. With over 20 years of experience as digital partners for some of the world's leading companies, we boast a workforce of over 4,000 professionals across 11 countries. Our multicultural and startup-like culture fosters innovation, continuous learning, and the creation of high-impact solutions for our clients.
We are currently seeking a Senior Data Engineer (Teradata + Microsoft Fabric).
Main Responsibilities:
• Maintain, evolve, and optimize the existing Teradata Vantage platform, ensuring performance, stability, and the proper functioning of critical processes.
• Develop new data architectures and solutions using Microsoft Fabric, including lakehouse, pipelines, semantic models, and ingestion capabilities.
• Design and implement ELT processes in Teradata (BTEQ, TPT, or equivalent tools), performing advanced tuning on loads and queries.
• Implement and orchestrate data pipelines in Fabric using Notebooks, PySpark, Spark SQL, and other data engineering components.
• Integrate financial data from Oracle EBS/Fusion, ensuring consistency between Teradata and Fabric while applying models focused on financial reporting.
• Participate in defining best practices, security standards, data governance, and technical guidelines for both environments.
Requirements:
Mandatory:
• Proven experience with Microsoft Fabric in real projects: Lakehouse, Data Engineering (Notebooks, PySpark, Spark SQL), Data Pipelines, Fabric Warehouse/SQL Endpoint, and Power BI (datasets and semantic models).
• Solid and demonstrable experience in Teradata Vantage: advanced SQL, performance tuning, ELT development (BTEQ, TPT), and design and optimization of models and loads.
• Experience integrating and transforming financial data from Oracle EBS 11.5 or Fusion Cloud.
• Practical knowledge of financial data models: GL, AR, AP, FA, Cash Management, and Financial Reporting.
• Previous experience working with finance data (accounting, closings, reporting, audits, reconciliations).
• Proficient in Control-M, Linux scripting, and advanced SQL in critical environments.
• Senior profile with strong technical autonomy.
Desirable:
• Experience with SAP Business Objects.
• Complementary knowledge in Azure Data Platform.
• Familiarity with Purview or other data governance tools.

