Ai Platform Engineer

Agilent Technologies

Barcelona, Spain

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

Amazon Web Services Amazon S3 Code Review Github Identity and Access Management Subnetting Python (Programming Language) Runbook SQL Databases Data Streaming Systems Integration Amazon Virtual Private Cloud (VPC)

+8 more

Data Lakes AI Platforms Git Flow Deployment Automation Machine Learning Operations Cloudwatch Terraform Databricks

Job description

Responsibilities Hands?on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations.Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch; EKS familiarity is a plus but not required for this Databricks?focused role.Proficiency with Terraform (including databricks provider), GitHub, and GitHub Actions.Strong Python and SQL; experience packaging libraries and working with notebooks and repos.Experience with MLflow for tracking and model registry; experience with model serving endpoints preferred.Familiarity with Delta Lake, Auto Loader, Structured Streaming, and DLT.Experience implementing DevOps automation and runbooks; comfort with RESTAPIs and Databricks CLI.Git and GitHub proficiency; code review and branching strategies.Seniority Level Associate Employment Type Contract Job Function Consulting Industries Banking #J-*****-Ljbffr

Requirements

Responsibilities Hands?on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations. Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch; EKS familiarity is a plus but not required for this Databricks?focused role. Proficiency with Terraform (including databricks provider), GitHub, and GitHub Actions. Strong Python and SQL; experience packaging libraries and working with notebooks and repos. Experience with MLflow for tracking and model registry; experience with model serving endpoints preferred. Familiarity with Delta Lake, Auto Loader, Structured Streaming, and DLT. Experience implementing DevOps automation and runbooks; comfort with RESTAPIs and Databricks CLI. Git and GitHub proficiency; code review and branching strategies. Seniority Level Associate Employment Type Contract Job Function Consulting Industries Banking #J-*****-Ljbffr