
Senior Data Engineer Position Available
4 days ago
Data Engineering Role Overview
We are seeking an experienced data engineer to join our team.
The ideal candidate will have a strong background in data engineering, architecture, and design, with expertise in data integration, processing, and storage.
They should also have knowledge of data visualization tools, cloud data platforms, and industry-standard tools like Apache Spark, Kafka, and Airflow.
Job Responsibilities:
- Design, develop, and maintain scalable data pipelines for data ingestion, processing, and storage.
- Build and optimize data architectures and data models for efficient data storage and retrieval.
- Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
- Ensure data integrity, quality, and security across all data systems.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
- Document data processes, architectures, and data flow diagrams.
Requirements:
- Bachelor's degree in computer science, information technology, or a related field.
- Minimum 4 years of experience in data engineering and architecture.
- Expertise in data integration, processing, and storage.
- Knowledge of data visualization tools, cloud data platforms, and industry-standard tools.
- Excellent communication and interpersonal skills.
Benefits:
- Flexibility of working remotely.
- Opportunity to work on challenging projects and contribute to the growth of the company.
- Collaborative and dynamic work environment.
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