
Chief Data Architect
2 days ago
Job Description:
Data engineers design and develop large-scale data systems. They are responsible for collecting, processing, storing, and analyzing data to support business decisions.
Key Responsibilities:
- Design and develop scalable data pipelines for data ingestion, processing, and storage
- Build and optimize data architectures and models for efficient data storage and retrieval
- Develop ETL processes to transform and load data from various sources into data warehouses and 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
Required Skills and Qualifications:
- Expertise in data integration, processing, and storage
- Expertise in data optimization architecture, data process, and data flow
- Knowledge of data integration tools like Apache Spark, Kafka, and Airflow
- Proficiency in SQL and at least one programming language (e.g., Python, Scala)
- Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services
- Experience with data visualization tools (e.g., Tableau, Power BI)
Benefits:
- Flexible work environment
- Opportunities for professional growth and development
- Competitive salary and benefits package
Others:
- Bachelor's degree in computer science, information technology, or a related field
- Minimum 4 years of experience in data engineering and architecture
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