AWS Data Engineer
Capgemini
Job Description
Job Description
- Strong understanding of AWS environment (PaaS, IaaS) and experience in working with Hybrid model
- At least 2 years of project experience on using at least 4 of these components – Pyspark or scala on EMR, Glue, Lambda, Kinesis, Kafka, Scala, Redshift, RDS, Quick Sight
- Overall, at least 6 years of experience on Data Lake / Data warehouse projects
- Good understanding of DevOps and CI/CD concepts
- Good understanding of Data management concepts, esp data modelling, security, data quality and governance, MDM, and Data Lineage
- Able to understand requirements, create repeatable design patterns for developers
- Nice to have AWS solution Architect Associate or any Specialty certificate
Primary Skill
- Redshift
- Glue/Lambda
- Python
- Pyspark