
Scalable Data Solutions Architect
1 week ago
We are seeking a seasoned expert to design, develop and maintain scalable data platforms for analytics and scientific applications.
Main Responsibilities:
- Data Architecture Development: Develop highly available data and analytics platforms with 9-12 years of professional experience.
- Cloud Infrastructure: Hands-on experience with AWS or similar cloud platforms building data engineering solutions for analytics and science.
- Data Pipeline Management: Must have experience building complex data pipelines – batch and/or real-time event-based processing.
- Data Warehouse Optimization: Strong experience in designing, building, and maintaining data warehouses in Redshift or similar cloud-based solutions.
- ETL Solution Design: Experience building complex ETL using Spark (Scala or Python) for event-based big data processing.
- Database Querying and Scripting: Must have strong hands-on experience in SQL and modern scripting languages using Python.
- NoSQL Database Expertise: Strong hands-on experience with NoSQL DBs – MongoDB, Cassandra, or DynamoDB.
Favorable Skills and Qualifications:
- Strong expertise in data architecture and infrastructure development.
- Hands-on experience with cloud platforms and big data technologies.
- Excellent problem-solving skills and attention to detail.
- Able to work effectively in a team environment.
This role is perfect for someone who has the required technical skills and experience. The ideal candidate will be able to demonstrate their expertise in data architecture, cloud infrastructure, and big data technologies.
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