
Senior Data Pipeline Developer
2 days ago
We are seeking a highly skilled and motivated data engineer to design, develop and maintain scalable data pipelines that process and transform large volumes of structured and unstructured data.
Primary Responsibilities:
- Design and implement data pipelines for processing structured and unstructured data.
- Develop 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 Skills and Qualifications:
- 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
Benefits:
- Opportunity to work with cutting-edge technologies
- Collaborative and dynamic work environment
- Professional development and growth opportunities
Others:
This role is ideal for those who are passionate about data engineering and want to make a real impact in the industry.
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