cloud hosting provider (AWS (preferred), Google Cloud, Azure or similar). Experience using modern build tools such as Maven, Jenkins, GitHub, etc. Experience with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL more »
Sheffield, England, United Kingdom Hybrid / WFH Options
Undisclosed
solution design. Required Skills: Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g. more »
Demonstrable professional experience in analysis and advanced modelling/machine learning techniques to solve business problems using large scale, complex data sets Technical Insight: Amazon SageMaker; Particularly SageMaker Pipelines, Endpoints, Batch Transformation/Inference, o Ideally SageMaker Studio and related technologies Amazon MLOps technologies; IAM, S3, Lambda, Step … Functions, Athena/Glue, CodePipeline Containers orchestration using CloudFormation, Terraform, Docker, Kubernetes Experience in development using Python, particularly using TensorFlow, PyTorch, scikitlearn, boto3 and the Python Data Science stack (pandas, numpy etc.) Why work at GlobalLogic. Our goal is to build an inclusive positive culture where everyone can feel more »
solution design. Required Skills: Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g. more »
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Experis
Key Skills/requirements Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g. more »
platform powering their SaaS product. This is a Full Stack role, you'll spearhead backend and data engineering and mentor team members. Tech stack: Athena; Python, Flask, Redis, Postgres, React, Plotly, Docker, SQL, Athena & EMR Spark, ECS and Temporal. This is a 60/40 split between tech more »
