Job type full-time
Full job description
Line of service
Job description & summary
A career in our machine learning and artificial intelligence practice, within analytics, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analyticsWe focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technologyYou’ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Our team helps organisations understand the potential rewards and risks associated with implementing artificial intelligence toolsAs part of the team, you’ll help with pattern recognition, predictive modelling, text mining and search, programming and miscellaneous data analytics.
The responsibilities (not exhaustive) will include:
Understand business requirements and come up with necessary architecture to cater to the same
Develop strategies and solutions to migrate applications and databases from on premise to cloud platforms
Work closely with integration team and business owners towards implementation of the solution developed
Device and plan reusable transformation solutions
Document and review cloud based solutions, and monitoring and maintenance for the same .
Develop roadmap to develop cloud native products, perform pocs and implement the same
Assess ‘as-is’ and designing ‘to-be’ state of system architecture on cloud native or hybrid environments.
Drive solutions towards implementing a proposed architecture or solution
Exposure to multiple service offerings in azure and/or aws
Relevant experience in cloud principles, migration and methodologies
Should have experience in multiple cloud migrations like on premise to cloud, azure to google/aws and vice versa
Google cloud platform (gcp)
Experience managing container orchestration tools such as kubernetes, docker etc.,
Experience of virtualization technologies such as vmware, openstack
Experience of networking concepts dns, load balancing, firewall, cdn etc
Experience in migrating applications from on premise to cloud
Experience with configuration, migration, and deployment experience related to azure or aws saas/iaas/paas technologies
Experience working in a multi-cloud environment with demonstrated experience working on cloud deployment projects
Ability to study/analyze the landscape and build/propose tools.
Ensuring migrated applications comply with required security requirements
Knowledge with devops and its tools like jenkins, maven etc., will be an added advantage
Knowledge with databricks migrationWill be an added advantage
Nice to have knowledge on any one of the programming languages like java, c#, python.
Help identify potential risks that may impact migration projects and identify appropriate mitigating actions
Hands-on experience with developing both containerized application migration as well as database migration strategy from on premise or other cloud platforms leveraging data migration offerings from various cloud providers particularly aws and azure
Experience in architecting and/or implementing architecture - compute, storage, network, data and security features in both on-premises vs cloud (microsoft azure or amazon web services)
Experience in data modelling and working with relational databases (egOracle, mysql, postgresql)
Experience with any nosql db like mongodb, dynamodb, cosmosdb etc.
Strong experience in recovery, back-up, security principles around cloud solution components.
Experience in continuous integration and continuous development solution environments using tools like jenkins, git, bamboo, ansible, aws codecommit, azure dev-ops.
Knowledge of cloud based etl services like - aws glue/azure data factory
Knowledge in containerization technology like kubernetes and dockerCloud based services like - ecs or eks/aks.
Experience in serverless and event-driven solution architecture using services like aws lambda or azure function app.
Understanding of data visualization tools like power bi/tableau.
Knowledge and capabilities in gcp and / or snowflake in addition to aws and/or azure
Exposure in cloud based data warehouses (eg, redshift and snowflake) and/or at least one on premise data warehouse environment on oracle, sql server , teradata etc.
Experience with designing and implementing etl processes and use of etl tools like ssis, informatica, datastage, talend etc.
Understanding of big-data cloud architecture using hdfs in aws (emr) or azure (hdinsights/databricks/data lake storage)
Exposure to datawarehouse designing and dimensional modeling
Education (if blank, degree and/or field of study not specified)
Degrees/field of study required:
Degrees/field of study preferred:
Certifications (if blank, certifications not specified)
Desired languages (if blank, desired languages not specified)
Available for work visa sponsorship?
Government clearance required?
Job posting end date
September 30, 2022
Posted 5 days ago
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