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1. Python, Spark
2. Snowflake
3. AWS, Docker, Kubernetes

• Proficiency in script development and scripting languages in Python and Spark
• Experience with data pipeline and workflow management in AWS based cloud native tools like AWS Glue, S3, Kinesis, Lambda, State Machines, CloudWatch, Athena and Redshift
• Experience in continuous delivery automation, and the integration of cloud-native services to create fully functioning, cohesive delivery pipelines.
• Skills should include tools like Jenkins, BitBucket
• AWS build tools including: AWS CodeCommit, AWS CodeBuild and AWS CodePipeline
• Hands-on experience building containers and automating container orchestration—deployment, management, and scaling, using tools such as: Docker, Kubernetes, Amazon ECS/EKS
• Demonstrate expertise in Snowflake data modeling and ELT using Snowflake SQL, implementing complex stored procedures and best practices with data warehouse and ETL concepts.
• Experience delivering Data migration projects in AWS and Snowflake
• Experience with open sourced webservices environments (Java, REST, and SOAP)
• Experience with traditional and Cloud based API development

Minimum years of experience*: 5-8 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute*:

1. Script development.
2. Creations of data pipeline and workflow management.
3. Work on continuous delivery automation, and the integration of cloud native services to create fully functioning, cohesive delivery pipelines.

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No