Minimum years of experience: 8 years to 15 years
Job Description:
- Design scalable and secure AWS data architectures leveraging S3, Glue, Redshift, EMR, Lambda, and other cloud-native services.
- Lead end-to-end data migration initiatives from on-premises and legacy platforms to AWS-based data lakes and warehouses
- Define enterprise data models, ETL/ELT frameworks, and integration patterns to support analytics and reporting.
- Optimize data pipelines, storage, and processing workloads for performance, scalability, and cost efficiency.
- Drive data governance, security, and stakeholder collaboration to deliver business-aligned cloud data solutions.
Primary Skills:
- AWS Services: S3,Glue, Redshift, EMR, Athena, Lambda, RDS
- Data Engineering: PySpark, Apache Spark, SQL, Python, ETL/ELT Design, Data Warehousing, Data Lakes, Streaming Architectures
- Data Modeling
