
Senior Data Pipeline Engineer
7 days ago
Job Title: Data Architect
Overview:
Our organization seeks a skilled and motivated professional to design, develop, and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.
Key Responsibilities:
- Design and implement robust data pipelines for processing complex data structures.
- 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
This role requires collaboration with data scientists, analysts, and business teams to deliver high-quality data solutions. The ideal candidate will have expertise in data engineering, cloud technologies, and data architecture.
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