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Job Description
Responsibilities
• Contribute to the process of establishing a Data Lake / Data Warehouse (EDW), Operational Data Store (ODS)
• Play a key role in the process of data transformation (Data Collection, Data validation/quality, Data Cleaning, Data Exploration and Analysis activities) required for effective reporting, analytics, and visualization
• Develop and evolve the enterprise-wide data architecture strategy and roadmap to support delivery
• Build and maintain artefacts including Entity Relationship Models, Data dictionary, taxonomy, governance framework to aid data traceability
• Partner with other key team to define, document, and communicate principles, patterns, and reference architectures that provide a clear vision for delivering value from data
• Ability to identify fit for purpose data stores (relational, NoSQL, document, graph, etc.) to meet business requirements
• Oversee the migration of data from legacy systems to new solutions
• Ability to communicate, influence and persuade peers and leadershipRequired/Minimum Qualifications
• 3+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications
• Proven experience in architecting and implementing big data platforms like Azure synapse analytics, Snowflake, GCP Big Query, AWS Redshift etc.
• A comprehensive understanding of the principles and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores
• Experience with distributed data and analytics architectures in cloud and hybrid environments and handled data volumes exceeding 1 TB
• Experience using Azure, GCP, AWS cloud data platforms to design schema, build views and optimize data transformation processes or similar technologies
• Experience in implementing standards, best practices, and latest technical advancements in areas of data engineering and big data processing
• Experience in optimizing the infrastructure cost and application runtimes by monitoring the utilization stats using tools available and right sizing the underlying compute
• Awareness of visualization / reporting environments including Tableau, Power BI or other similar tools
• Deep knowledge of architectural patterns – such as data warehouse, data lake, and data hub – and the ability to leverage them to enable operational and analytical use cases
• Familiarity with data modeling skills,
• Contribute to the process of establishing a Data Lake / Data Warehouse (EDW), Operational Data Store (ODS)
• Play a key role in the process of data transformation (Data Collection, Data validation/quality, Data Cleaning, Data Exploration and Analysis activities) required for effective reporting, analytics, and visualization
• Develop and evolve the enterprise-wide data architecture strategy and roadmap to support delivery
• Build and maintain artefacts including Entity Relationship Models, Data dictionary, taxonomy, governance framework to aid data traceability
• Partner with other key team to define, document, and communicate principles, patterns, and reference architectures that provide a clear vision for delivering value from data
• Ability to identify fit for purpose data stores (relational, NoSQL, document, graph, etc.) to meet business requirements
• Oversee the migration of data from legacy systems to new solutions
• Ability to communicate, influence and persuade peers and leadershipRequired/Minimum Qualifications
• 3+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications
• Proven experience in architecting and implementing big data platforms like Azure synapse analytics, Snowflake, GCP Big Query, AWS Redshift etc.
• A comprehensive understanding of the principles and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores
• Experience with distributed data and analytics architectures in cloud and hybrid environments and handled data volumes exceeding 1 TB
• Experience using Azure, GCP, AWS cloud data platforms to design schema, build views and optimize data transformation processes or similar technologies
• Experience in implementing standards, best practices, and latest technical advancements in areas of data engineering and big data processing
• Experience in optimizing the infrastructure cost and application runtimes by monitoring the utilization stats using tools available and right sizing the underlying compute
• Awareness of visualization / reporting environments including Tableau, Power BI or other similar tools
• Deep knowledge of architectural patterns – such as data warehouse, data lake, and data hub – and the ability to leverage them to enable operational and analytical use cases
• Familiarity with data modeling skills,
Preferred Skills:
Artificial Intelligence->Data Science
* Location of posting is subject to business requirements
APPLY
Educational Requirements
Bachelor Of Information Tech,Bachelor of Information Technology and Computer Applications,Bachelor Of Computer Science,Bachelor of Engineering
Service Line
Data & Analytics Unit
Key Skills
Azure; GCP; AI Architecting; NoSQL; RDBMS; AWS
About Company
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in more than 50 countries, as they navigate their digital transformation powered by the cloud. We enable them with an AI-powered core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
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September 8, 2022