Requirements :
- 13+ years experience in the industry.
- 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
- AWS Certification : AWS Certified Solutions Architect and / or AWS Certified Data Analytics
- 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.
Skills Required
Java, Scala, Shell Scripting, Python, Aws