Description
Design and implement large-scale data solutions and architecture.
This role is hybrid.
Responsibilities
- Design and implement data pipelines and warehousing solutions on AWS and Azure.
- Build large-scale data solutions using AWS Glue, Lambda, Redshift, and S3.
- Develop data models and database designs using SQL.
- Create automation scripts using Python.
- Lead technical initiatives and communicate complex data strategies.
Required Skills
- 15+ years of experience in data architecture and data engineering.
- Hands-on expertise with AWS data services (Glue, Lambda, Redshift, S3).
- Proficiency in designing data pipelines and warehousing on AWS or Azure.
- Experience with Big Data technologies such as Hadoop and Spark.
- Strong SQL skills for data modelling and database design.
- Proficiency in Python for scripting and automation.
- Bachelor's degree in a relevant field.
Preferred Skills
- Experience with AI/ML models.