Gathi Analytics presented @ GeoSmart India 2019 on the topic Smart services for Smart Cities.Vinit Reddy, Director of Innovation presented the Smart City Platform (SEP), explaining the ease at which cities can adopt to and benefit from the platform.
Gathi Analytics featured in CIO Review EdTech Special Edition.
“Our ‘Unique 8,8,8 Engagement Model’ is enabling Businesses to stay ahead of the Curve. The Modern Data Platform helps take an organized approach to the enormous data distributed over disparate systems”.
Design and develop security architectures for Cloud and Cloud hybrid-based systems.
Design and implement Cloud-native architectures that will allow business requirements to be met with a minimal degree of risk to the organization
To be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them;
Demonstrated Experience with assessment, development, implementation, optimization, and documentation of a comprehensive and broad set of security technologies such as (Secure Software development, Application Security, data protection, cryptography, key management, and identity access management.
Experience with enterprise applications (architecture, development, support, and troubleshooting).
Ability to perform threat modeling and design reviews to assess security implications and requirements for introduction of new technologies.
Involve in all aspects of architecture, design, build, engineering and implementation of technical solutions using in any one of the technical platforms (JAVA, Microsoft, Azure, AWS, Big data Stack etc.,)
Working knowledge of Spark, Kafka, HBase, MongoDb, Cassandra, Impala and Hive
Understand the enterprise architecture roadmap and research, identify and recommend industry best practices for solving business problems
Provide recommendations and technical guidance to improve performance, reliability, and reusability within the constraints of budget, resource and business dependencies
To be able to help program and project managers in the design, planning and governance of implementing projects of any kind;
To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution;
To be able to work creatively and analytically in a problem-solving environment;
To be a self-starter;
To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines;
To be able to work in a fast-paced agile development environment.
Develop a mental model of the chosen solution, and document using a combination of text, diagrams and create clear, traceable solution documentation
15+ years of strong solution architecture experience in variety of IT positions. Recent 5+ years of experience must be on solution/systems/ enterprise architecture with large scale complex IT systems
Continuous learning and keep track of the latest developments in business/ technical advancements
High energy levels, right attitude and pleasing personality. Demonstrate the compassion to lead and bring value to the architecture portfolio
Bachelor’s degree in Computer Science, Information Technology or related field preferred but equivalent experience may be substituted.
Knowledge and skills
Demonstrated ability to work in a fast-paced, highly technical environment
Excellent communications skills, both written and verbal
Ability to troubleshoot complex system issues
Ability to handle multiple tasks simultaneously
Ability to translate user requirements into technical specifications
Ability to train and mentor junior level developers
Strong database fundamentals including SQL, performance and schema design.
Strong understanding of programming languages like Java, Scala or Python.
10+ years of strong ETL experience on either Information, Ab-Initio, Talend, DataStage, Syncsort.
Design and implement Data security and privacy controls.
Experience with Git
10+ years of hands-on software engineering experience.
10+ years of experience integrating technical processes and business outcomes – specifically: data and process analysis, data quality metrics/monitoring, data architecture, developing policies/standards & supporting processes.
Experience with Spark, Hive, Hadoop, Kafka, Columnar Databases.
experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms
Powerful Solutions for Big Data Analytics, Smart Cities, and Data Roadmaps across the globe.
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