
Data System Architect
1 week ago
Design and Implement Data Systems
You will play a key role in developing scalable data pipelines, building and optimizing data architectures, and ensuring data integrity, quality, and security across all data systems.
This includes designing, developing, and maintaining efficient data storage and retrieval systems, transforming and loading data from various sources into data warehouses and data lakes, and extending expertise in big data technologies.
- Data Ingestion: Design and develop scalable data pipelines for data ingestion, processing, and storage.
- Data Architecture: Build and optimize data architectures and data models for efficient data storage and retrieval.
- ETL Processes: Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
Required Skills:
- Expertise on data integration, processing, and storage.
- Expertise on 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).
Benefits:
- Work remotely in India with flexibility.
Other Requirements:
- 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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