
Highly Skilled Data Engineer Wanted
2 days ago
Data Integration Specialist
We are seeking a highly skilled data engineer to design, develop and maintain scalable data pipelines that extract data from various sources via APIs, process and store it in cloud-based platforms.
This role requires deep expertise in data integration, ETL/ELT, APIs, and cloud computing. 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.
Key Responsibilities:
- Design and implement end-to-end pipelines from diverse data sources (API extraction) into cloud-based warehouses.
- Develop efficient ETL/ELT processes in cloud platforms (PySpark, Delta Lake) to transform, cleanse, and enrich data.
- Build and maintain data flows from cloud platforms into Oracle EPM to support reporting, forecasting, and planning.
- Ensure data quality, consistency, and governance across various systems.
- Optimize pipeline performance, scalability, and reliability.
- Collaborate with data architects, finance teams, and Oracle specialists to meet business needs.
- Troubleshoot pipeline issues and provide production support for data integration processes.
- Document architecture, pipeline logic, and integration workflows.
- Stay current on cloud computing, API integration, and data engineering best practices.
Required Skills & 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 cloud platforms (Azure, AWS, or GCP) for hosting cloud-based services.
- Strong experience with APIs (REST, SOAP, JSON, XML) for data extraction and integration.
- Proficiency in SQL, Python, and Spark for data processing.
- 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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