
Chief Data Architect
4 days 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 cross-functional teams to deliver high-quality data solutions.
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
- This role offers the opportunity to work on cutting-edge data projects.
- You will be part of a collaborative team environment.
- Professional development opportunities are available.
About This Opportunity:
This is an exciting opportunity to join our organization and contribute your skills and experience to our data engineering team. If you are passionate about working with data and want to be part of a dynamic team, we encourage you to apply.
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