
High-Performance Data Architect
7 days ago
We are seeking a skilled and motivated professional 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. We value experience with Python, PySpark, SQL, CI/CD practices, Kafka, GCP Composer / Apache Airflow, Google Cloud Platform (Dataproc, BigQuery, Looker), data warehousing, and data modeling.
Key Responsibilities:
- 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.
Required Skill Set:
- Programming & Data Engineering:
- Python, PySpark, SQL
- CI/CD practices
- Streaming & Orchestration:
- Kafka
- GCP Composer / Apache Airflow
- Cloud Tools:
- Google Cloud Platform (Dataproc, BigQuery, Looker)
- Data Architecture:
- Data Warehousing
- Data Modeling
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