
Principal Data Architect
2 weeks ago
We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain data pipelines that extract data from Oracle Symphony via APIs, process and store it in the Databricks Lakehouse platform, and then integrate it into Oracle EPM (Enterprise Performance Management).
Key Responsibilities- Data Pipeline Design: Design and implement end-to-end pipelines from Oracle Symphony (API extraction) into Databricks Lakehouse.
- ETL/ELT Process Development: Develop efficient ETL/ELT processes in Databricks (PySpark, Delta Lake) to transform, cleanse, and enrich data.
- Data Flow Integration: Build and maintain data flows from Databricks into Oracle EPM to support reporting, forecasting, and planning.
- Data Quality Assurance: Ensure data quality, consistency, and governance across Symphony, Databricks, and EPM.
- Pipeline Optimization: Optimize pipeline performance, scalability, and reliability.
- Cross-Functional Collaboration: Collaborate with data architects, finance teams, and Oracle specialists to meet business needs.
- Troubleshooting and Support: Troubleshoot pipeline issues and provide production support for data integration processes.
Requirements and Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
- 5+ years of experience in data engineering, ETL/ELT, and data pipeline development.
- Hands-on experience with Databricks (PySpark, Delta Lake, MLflow).
- Strong experience with APIs (REST, SOAP, JSON, XML) for data extraction and integration.
- Proficiency in SQL, Python, and Spark for data processing.
- Experience with cloud platforms (Azure, AWS, or GCP) for hosting Databricks and related services.
- Knowledge of data modeling, data governance, and performance tuning.
- Strong problem-solving skills and ability to work in cross-functional teams.
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