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Data Modeler
1 month ago
Title : Date Modeler
Experience : 4 + years
Website :-
Johnson Controls is a global diversified technology and multi-industrial leader serving a wide range of customers in more than 150 countries. Our commitment to sustainability dates to our roots in 1885, with the invention of the first electric room thermostat. We are committed to helping our customers win and creating greater value for all our stakeholders through strategic focus on our buildings and energy growth platforms.
Johnson Controls International plc is a multinational conglomerate headquartered in Cork, Ireland, that produces automotive parts such as batteries, and electronics and HVAC equipment for buildings. Johnson Controls makes its largest ever acquisition: York International heating, ventilating, air-conditioning and refrigeration products and services, with worldwide presence. It creates intelligent buildings, efficient energy solutions, integrated infrastructure and next generation transportation systems that work seamlessly together to deliver on the promise of smart cities and communities. At its core, that promise is about delivering innovation that make people's lives – and the world – better.
Location – PAN, India
What you will do
The future is being built today, and Johnson Controls is making that future more productive, secure, and sustainable. We are harnessing the power of cloud, data analytics, the Internet of Things, and user design thinking to deliver on the promise of intelligent buildings and smart cities that connect communities in ways that make people's lives – and the world – better & safer.
Data & Analytics COE is a diverse team of technology enthusiast enabling our global business. JCI has embarked on a Data strategy that focuses on establishing strong technology COE, enterprise data management & cloud-based business solutions.
Data Modeler (business data models, data privacy, and enterprise data management) is an integral part of Data Architecture team. This role will be based out of India, reporting into Lead technical Architect.
Assess organization's potential data sources (internal & external), develop blueprint to integrate, centralize, protect, and maintain data, thus enabling data models for the enterprise with ability to slice and drill information per Region / BU / LoB Work with leadership and stakeholders to define the overall vision, mission, and strategy for business data models that scales up for the enterprise Mentor & guide technical project teams based globally on ERWIN & Azure platform components Technical leadership role to lead and manage analytics projects to ensure all deliverables meet JCI standards This role requires the person to be independently performing his/her job duties without much supervision and coachingHow you will do it
Work collaboratively with all levels of stakeholders to architect, implement and test Big Data based analytical solution from disparate sources Demonstrate an understanding of concepts, best practices, and functions to implement a Big Data solution in an enterprise environment. Establish, maintain, and adhere to Enterprise Data Standards & Policies. Create and document Logical & Physical Data Models using best practices to ensure high data quality and reduced redundancy. Recommend solutions to improve existing functional data models. Understand and translate business needs into scalable data models supporting enterprise views Optimize and update logical and physical data models to support new and existing projects. Maintain conceptual, logical, and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. Ensure reusability of data models for future business requirements Perform reverse engineering of physical data models from databases and SQL scripts. Connect with the functional and technical leads when prioritizing the technology initiatives to support analyticsWhat we look for
Bachelor of Science degree and/or Master's in software engineering / Computer Science or an equivalent discipline 5+ yrs. of hands-on experience using various development methodologies to deliver robust PaaS and DaaS based analytics solutions on Azure data platform Proven expertise of ERWIN, Azure data platform, CI/CD Strong knowledge of using Snowflake, Hadoop, MPP Data platform, Azure Data Factory, Azure HDI, and Open-source technologies Superior documentation and communications skills Proven ability to lead & coach diverse teams of data modelers located globallyTechnology Requirement
ERWIN/Other Data Modeling Tools: develop, enrich, and maintain logical & physical data models Cloud Database experience in Snowflake and/or HIVE DevOps: GitHub, Azure DevOps ETL/ELT Framework design and implementationEssential Skills
Strong Leadership, organizational, and prioritization skills Excellent written and verbal skills to communicate technical solutions to business teams Demonstrated experience leading and influencing individuals and teams without formal organizational control Understanding trends, new concepts, industry standards and new technologies in Data and Analytics space Ability to work with global distributed teams