Kindly note that Jobline will be offline for maintenance on this Friday (May 14, 2021) from 5:00 PM to 9:00 PM.

Responsibilities

  • Dive into company data to identify sources and features that will drive business objectives.
  • Design data infrastructures architecture for ingestion of real-time and batch data streaming using cloud native services
  • Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies.
  • Architect, Design and Build the applications and its CICD pipelines using cloud services.
  • Investigate all reported problems/errors & initiate amendments & testing so that the system can operate correctly & efficiently. 
  • Deploy and monitor Machine Learning Models in production environment.
  • Develop and monitor REST API end points for Machine Learning Models deployment.
  • Develop analytics dashboards and communicate its findings using PowerBI/Tableau.
  • Setup and monitor cloud infrastructure’s security and network settings.

Requirements

  • Have strong technical background in Python development.
  • Experience in using cloud native data lake, data warehouse and databases services like Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, AWS S3, AWS RedShift, etc.
  • Experience in deploying Machine Learning Models using Docker/Kubernetes into production.
  • Experience with ETL and data streaming pipeline like Kafka, Informatica, Talend, Azure Data Factory, Azure Synapse, AWS Kinesis, etc.
  • Experience in developing API end points using Web Framework like Django or cloud serverless services like AWS API Gateway and AWS Lambda.
  • Experience in setup CI/CD pipeline and familiar with the DevOps tools like Azure DevOps, Travis CI, Ansible, etc.
  • Experience in developing analytics dashboard using PowerBI/Tableau.
  • Strong working knowledge in Linux and shell scripting.