Senior Data & Dev Ops Engineer - Azure

Job Summary

At Charles River Laboratories, we re transforming how we work by harnessing the power of AI, data, and digital innovation to accelerate the discovery and development of life-saving therapies. Our vision is to embed artificial intelligence and advanced analytics across every stage of our scientific and operational workflows empowering our teams with smarter tools, seamless data, and actionable insights to deliver client-centric services and solutions that better serve our customers and, ultimately, improve patients lives.

Senior Data DevOps Engineer

Basic Qualifications:

Strong and extensive hands on Experience with Azure cloud big data architecture

Good understanding of Microsoft Azure security, privacy, and compliance.

Implement best practices for Azure services authentication using service principals and managed identities.

Familiarity with Azure resources service level agreements (SLA), and pricing for planning and cost management.

Configure and manage Azure virtual network, define Inbound and outbound rules.

Manage source control with GitHub best practices and define standards for the pull request (PR) process.

Define and manage a release workflow to update latest code to the corresponding environments.

Build continuous integration (CI) pipelines with GitHub actions.

Experience with Azure Data Lake, Azure SQL Data Warehouse, Data Catalog, Eventhub, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, Virtual Network, Azure App Service

Experience with Big Data Technology Stack: Hadoop/Spark/Hive/MapR

Experience designing and building cloud native applications as well as Azure Cloud migration experience.

Experience with Azure IaaS and PaaS services.

Project experience using Azure cloud, data lake storage, installation, security and infrastructure (IaaS) set up

Experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, avro, parquet, copybook, etc.)

Bachelor s degree in Computer Engineering, Computer Science or related discipline, Master s Degree preferred

4+ years of Microsoft Azure experience or equivalent with AWS or GPC.

3+ years of experience implementing automated deployments with GitHub integration and CI/CD pipelines.

5+ years of experience in defining GitHub branching strategy for Dev, TEST, PROD, and Hotfix deployments.

2+ years of experience automating infrastructure as code using Terraform templates.

5+ years of experience in scripting with bash, PowerShell, and Azure CLI.

3+ years of experience supporting Azure resources by monitoring diagnostics logs and alerts.

2+ years of experience in defining security strategy for Azure resources with networking and firewall rules.

2+ years of experience in defining and managing access control strategy for Azure resources.

Understand different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.)

6+ years of experience working with SQL.

Experience in ETL design, development, and performance tuning in general.

3+ years experience managing offshore teams

Experience managing and governing cloud costs for a data team

Experience working without other public cloud technologies AWS, GCP

Experience with setting up and operating data pipelines using Python or SQL

Experience working with relational databases

Strong analytical problem-solving ability

Great presentation skills

Great written and verbal communication skills

Self-starter with the ability to work independently or as part of a project team

Capability to conduct performance analysis, troubleshooting and remediation

Excellent verbal and written communication skills

Ability to manage multiple efforts concurrently

Strong problem-solving skills

Strong knowledge of emerging technologies and tools

Strong organizational and time management skills

Effective collaboration of tasks across the business and technical teams

Able to work quickly and under tight delivery deadlines with focus on details

Interface with key customers from all functional areas - Analytic skills are needed

Proven and recent experience of implementing solutions from requirements gathering and process design to functional production deployment

Demonstrated ability to produce high quality deliverables