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1 week ago
Job Title: Senior Data Engineer
About the RoleWe are seeking a skilled professional to design, develop, and maintain end-to-end data pipelines.
Main Responsibilities- Design and implement pipelines from Oracle Symphony (API extraction) into Databricks Lakehouse.
- Develop efficient ETL/ELT processes in Databricks (PySpark, Delta Lake) for data transformation, cleansing, and enrichment.
- Build and maintain data flows from Databricks into Oracle EPM to support reporting, forecasting, and planning.
- Ensure data quality, consistency, and governance across Symphony, Databricks, and EPM.
- Optimize pipeline performance, scalability, and reliability.
- 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.
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