Lead Data Engineer - Data Engineering

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Job Details

We are seeking an experienced and passionate azure cloud engineer to join our team. In this role, you will be responsible for building scalable solutions in the Azure Platforms for our Data & Analytics Platform. You may be expected to lead a team of junior engineers towards successful delivery of engineering solutions. The ideal candidate will bring a blend of technical skills and leadership ability, with the communication and teamwork skills to collaborate with other members of the IT team.

Note that this is not a traditional Data Engineering job. We build platforms and solutions that enable Data Engineers & Scientists accomplish business goals.

Typical Duties & Responsibilities:

Manage and administer the Microsoft Azure cloud environment, including provisioning, configuration, performance monitoring, policy governance and security.

Design, develop, and implement highly available, multi-region solutions within Microsoft Azure

Analyze existing operational standards, processes, and/or governance to identify and implement improvements.

Engage in conducting Proof of Concepts of various vendor solutions and present final recommendations.

Migrate existing infrastructure services to cloud-based solutions.

Manage security and access controls of cloud-based solutions.

Develop infrastructure as code (IaC) leveraging cloud native tooling to ensure automated and consistent platform deployments.

Develop and implement policy driven data protection best practices to ensure cloud solutions are protected from data loss.

Support cloud adoption of applications as they are being transformed and/or modernized.

Ensure all infrastructure components meet proper performance and capacity standards.

Participate in an on-call rotation to address and resolve technical escalations.

Education

Bachelor’s degree in computer science, information systems, or a related field

Required Skills And Experience

4+ years of Microsoft Azure experience involving design, deployment, configuration, and optimization.

6+ years of experience with IaaS and PaaS solutions

Experience in the design and operation of medium to large scale enterprise infrastructure, databases, and application systems

Experience working within an Agile framework.

Experience in IaC development with Terraform, Azure CLI, Puppet, and Ansible

Experience Azure PowerShell.

Experience with Python, data analysis using Python, working on Python solutions in Azure.

Experience with C#, frameworks for apps and solutions on Azure.

Experience with Windows, Linux VMs, networking, routing & firewalls.

Experience with Azure services such as Azure App Services, ADF, Logic Apps, AKS, ADLS, etc..

Proficient with GIT, ADO to perform source code management.

Experience with Terraform Cloud and Azure DevOps

Experience with Jira and ServiceNow

Competence in a wide range of IT skills including networking, systems administration, data protection, information security and CI/CD tooling.

Enthusiastic learner with the ability to teach and mentor teammates and cross functional partners.

Excellent communication skills, both written and verbal, with a keen attention to detail

Azure Certifications:

o

Azure Administrator Associate

o

Azure Developer Associate

o

DevOps Engineer Expert

Preferred Qualifications

10+ years’ IT experience

Experience with administration or development using Azure Databricks & Unity Catalog

Azure Certifications:

o

Azure Security Engineer Associate

o

Azure Solutions Architect Expert

o

Azure Data Engineer Associate

EDUCATIONAL QUALIFICATIONS:

Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience.

Preferred Certifications:

• Advanced Data Analytics Certifications
• AI and ML Certifications
• SAS Statistical Business Analyst Professional Certification
  
  

WORK EXPERIENCE:

6+ years of directly-related or relevant experience, preferably in healthcare data analytics or data engineering.

SKILLS & KNOWLEDGE:

Behavioral Skills:

• Conflict Resolution
• Creativity & Innovation
• Decision Making
• Planning
• Presentation Skills
• Risk-taking
  
  

Technical Skills:

• Advanced Data Visualization Techniques
• Advanced Statistical Analysis
• Big Data Analysis Tools and Techniques
• Data Governance
• Data Management
• Data Modelling
• Data Quality Assurance
• Machine Learning and AI Fundamentals
• Programming languages like SQL, R, Python
  
  

Tools Knowledge:

• Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense
• Data Visualization Tools
• Microsoft Office Suite
• Statistical Analytics tools (SAS, SPSS3)
  
  

What Cencora offers

Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Full time

Affiliated Companies

Affiliated Companies: AmerisourceBergen Services Corporation

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned