
Data Architectural Specialist
24 hours ago
Responsibilities:
- Understand the values and vision of the organization.
- Protect intellectual property.
- Adhere to all policies and procedures.
- 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.
- Implement and maintain data integration solutions using industry-standard tools and technologies.
Essential Skills:
- Expertise on Data Integration, processing & Storage.
- Expertise on Data optimization architecture, data process and data flow.
- Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.
- Proficiency in SQL and at least one programming language.
- Experience with cloud data platforms and their data services.
- Experience with data visualization tools.
Benefits:
- Excellent communication and interpersonal skills.
- A collaborative approach to effectively present and advocate for quick design solutions.
- A proactive approach to problem solving.
Other Requirements:
- Bachelor's degree in computer science or a related field.
- Minimum 4 years of experience in data engineering & architecture.
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