Bachelor s Degree in computer science, Information Technology or other relevant fields
Experience and knowledge of Big Data Architectures, on cloud and on premise Proficiency in AWS Collection Services: Kinesis, Kafka, Database Migration Service
Proficiency in AWS main Storage Service: S3, EBS, EFS
Proficiency in AWS main Compute Service: EC2, Lambda, ECS, EKS
Proven experience in: Java, Scala, Python, and shell scripting.
Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS
Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB
Working experience with Agile Methodology and Kanban
Good knowledge of SQL .
Experience in building and delivering proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
Experience partnering with executive stakeholders as a trusted advisor as well as enabling technical implementers
Working experience in migrating workloads from on premise to cloud environment
Experience in monitoring distributed infrastructure, using AWS tools or open-source ones such as CloudWatch, Prometheus, and the ELK stack would be big advantage.
