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Senior Azure Devops Data Engineer

Bengaluru, India | Jones Lang LaSalle

  • Industry:
    Real Estate
  • Position Type:
  • Functions:
    IT / Information Technology
  • Experience:
    5-7 years
Job Description:
76 people have viewed this job

We are looking for Senior Azure Devops Engineer to join our technology Data & Information Management organization in Bangalore, India.We are seeking candidates who are self-starters and can independently work on complex data management / analytic processes to support various JLL projects.

The role will add immense value to the role holder through enhancement of Technical knowledge, analytical skills and exposure to technologies suite in the PropTech domain.


Responsibilities


Working with the application teams to prioritize new requests for functionality.Specifically, new user-facing functionality (e.g. the ability to ingest IoT data, subscription-based consumption, etc.)

Addressing internal functionality (e.g. monitoring and alerting based on application performance, automated testing frameworks, etc.)

Managing respective support queues (e.g. Ingest, Prepare, Storage and Consume, etc.)Note: agreed upon SLAs will be established post burn-in period

Manage backlog via effective sprint planning based on feedback from the application teams and support

Participating in monthly architecture review board

Mentoring and coaching the application teams on tools, technology and design patterns

Gathering high-level solution requirements from stakeholders

Assisting JLL with overall strategic vision for data and analytics solutions

Architecting the overall solution

Socializing solution decisions and design with stakeholders and relevant parties

Architecting specific portions of the solution with regard to cloud infrastructure and services

Overseeing platform implementation

Ensuring that the production environment is well built and that there is a clear escalation path for production issues

Ensuring solution architecture meets JLL's requirements including, but not limited to, those regarding cloud spend, scalability, performance, etc.

Developing the framework components for JLL's cloud environment

Developing infrastructure that is scalable, reliable, and monitored

Building a relationship with Cloud providers, in order to take advantage of their most appropriate technology offerings

Collaborating with the application team leads to ensure that the application teams' needs are met through the CI/CD framework, component monitoring and stats, incident escalation

Monitoring the security of the production environment, especially as it relates to sensitive customer data and credentials

Inculcating "infrastructure as code" mentality in the Platform \ team overall

Utilizing Agile practices to manage and deliver features

Sounds like you? To apply you need to be:


Experience & Education


Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.Advance degree preferred.

Reliable, self-motivated, and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment.

Capability to self-learn new software applications and programming languages.

Effective written and verbal communication skills, including technical writing.

Excellent technical, analytical and organizational skills. Project management skills desired.

Technical Skills & Competencies


Overall 6+ years of experience in Data Management

Minimum of 3 years of experience using Octopus, BigFix, Chef, Python, Spark, Azure, Azure data lake, Azure functions, Azure DevOps, Databricks, NoSQL, ETL tools, etc.

Sr. Devops Data Engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure, etc.), Micro Services, Streaming Technologies, Network, Security etc 

Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues

Experience building and maintaining a data warehouse/ data lake in a production environment with efficient ETL design, implementation, and maintenance

Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross-functional teams.

Excellent problem-solving skills involving complex and ambiguous issues


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