You will design, implement, and manage scalable data architectures and cloud-based solutions.
Responsibilities
- Design and implement data architectures to support business intelligence, analytics, and operational requirements.
- Develop and maintain ETL processes using SSIS and custom Python scripts.
- Optimize SQL databases to ensure data integrity, performance, and scalability.
- Build and orchestrate data pipelines for both batch and real-time processing.
- Leverage AWS services including S3, Redshift, Glue, Lambda, and RDS to deploy data solutions.
Required Skills
- 5+ years of experience in data architecture or related roles.
- Proficiency in SQL, SSIS, and Python.
- Hands-on experience with AWS data services and cloud architecture.
- Strong understanding of data modeling, normalization, and schema design.
- Experience with data pipeline orchestration tools such as Apache Airflow or AWS Step Functions.
- Ability to translate business requirements into technical data solutions.
- Experience monitoring and troubleshooting data workflows and system performance.
- Any Graduate degree.