Chief Data Pipeline Specialist
2 days ago
We are seeking a highly skilled 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.
This role requires deep expertise in data integration, ETL/ELT, APIs, and Databricks. The candidate will work closely with business stakeholders, architects, and analysts to ensure seamless data flow, transformation, and availability for financial planning, reporting, and analytics.
- Design end-to-end pipelines from Oracle Symphony into Databricks Lakehouse using PySpark and Delta Lake.
- Develop efficient ETL processes in Databricks to transform, cleanse, and enrich data.
- Build and maintain data flows from Databricks into Oracle EPM to support reporting, forecasting, and planning.
- Evaluate data quality, consistency, and governance across Symphony, Databricks, and EPM.
- Ongoing optimization of pipeline performance, scalability, and reliability.
The ideal candidate has:
- 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.
- Strong hands-on experience with Databricks, APIs, SQL, Python, and Spark.
- Familiarity with cloud platforms such as Azure, AWS, or GCP for hosting Databricks and related services.
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