AWS ML Ops/Dev Ops Engineer id-4068

Job Title: AWS DevOps/MLOps Engineer Job Description:

CLIENT is seeking a talented AWS DevOps/MLOps Lead to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.

Required Skills

Required Skills:

  • AWS (experience mandatory): S3, KMS, IAM, EC2, ECS, BATCH, ECR, Lambda, Data Sync, EFS, IAM Roles, Policies, Cloud Trail, Cost Explorer, ACM, AWS Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC, Service Catalog
  • Automation (experience mandatory): Terraform, Python (boto3), serverless, Jenkins (Groovy), NodeJs
  • Bigdata (Knowledge): Redshift, DynamoDB, Databricks, Glue, and Athena.
  • Data science (Experience): Sagemaker, Athena, Glue, DynamoDB, Databricks, MWAA (Airflow),
  • DevOps (experience mandatory): Python, Terraform, Jenkins, GitHub, Make files, and Shell scripting.
  • Data Virtualization (Knowledge) : Denodo
  • Data Security (Knowledge): Protegrity

Qualifications

  • Bachelor's degree from a reputed institution/university.
  • 10+ years of building end-to-end systems as a Platform Engineer, Client DevOps Engineer, or Data Engineer.
  • 4+ Years of experience in python, groovy, and java programming.
  • Experience working in the SCRUM Environment.
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