
Scalable Data Solutions Architect
21 hours ago
About the Position
We are seeking an experienced Data Architect to design and implement scalable data solutions on Amazon Web Services (AWS).
Key Responsibilities:
- Design Data Architecture: Develop scalable data solutions on AWS using S3, Redshift, Glue, EMR, and Lambda.
- Database Management: Build and optimize data pipelines, warehouses, and data lakes using data modeling, ETL/ELT processes, and performance tuning.
- Collaboration: Collaborate with business and technical teams to deliver end-to-end solutions and ensure best practices in security, governance, and cost optimization.
- Skills: Strong understanding of AWS services, Java, SQL, data modeling, ETL/ELT processes, and performance tuning. Experience with Spark/PySpark, streaming tools, and AWS certification is desirable.
Requirements:
- 5-7 years of experience in data architecture and implementation.
- Strong knowledge of AWS services, including S3, Redshift, Glue, EMR, and Lambda.
- Experience in designing and implementing data pipelines, warehouses, and data lakes.
- Strong understanding of data modeling, ETL/ELT processes, and performance tuning.
Favorable Qualifications: Spark/PySpark, streaming tools, AWS certification, client-facing experience.
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