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Chief Data Transformation Specialist
3 weeks ago
We are seeking a skilled and motivated data engineer to design, develop and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.
The ideal candidate will have a strong background in data engineering, cloud technologies and data architecture, and will collaborate closely with data scientists, analysts and business teams to deliver high-quality data solutions.
- Design and implement scalable data pipelines for processing structured and unstructured data.
- Build and maintain ETL/ELT workflows for data ingestion from diverse sources including APIs, databases, files and cloud platforms.
- Ensure data quality, integrity and governance across all data pipelines.
- Collaborate with cross-functional teams to understand and fulfill data requirements.
- Optimize data workflows for performance and reliability.
Programming and Data Engineering:
- Python, PySpark, SQL
- CI/CD practices
Streaming and Orchestration:
- Kafka
- GCP Composer/Apache Airflow
Cloud Tools:
- Google Cloud Platform (Dataproc, BigQuery, Looker)
Data Architecture:
- Data Warehousing
- Data Modeling