Position Summary:
Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.
Key Responsibilities:
- Keep up to speed on new and emerging technologies/patterns/methodologies and products that may be of interest to our clients
Apply methodology, reusable assets, and previous work experience so that your work is always of high quality - Help in a full technical discovery, spotting pain points, business and technical requirements, and “as is” and “to be” scenarios
- Compare alternative solutions from both technical and business perspectives which support the define-cost and service requirements
- Make your own decisions to define solutions and ask for guidance on complex problems
- Interact mainly with your direct supervisor and be ready to interact with peers and/or managers on the client side and/or within Accenture
- Assess the full technology stack of services needed including PaaS (Platform-as-a-Service), IaaS (Infrastructure-as-a-Service), SaaS (Software-as-a-Service), operations, management and automation
- Be ready to rack up those air miles with weekly travel to client sites
- Gather, engineer and prepare data to help clients make smarter decisions
Required Education & Experience:
- You have experience in any of the Messaging platforms (Kafka, Kinesis, Azure Event Hub, Streaming platforms using PubSub, etc.)
- Minimum of 1 year of professional experience in Solution/technical architecture in the cloud
- You have experience in Big Data/analytics/information analysis/database management/ event-driven/microservices/DevOps/ML Ops in the cloud
- Minimum of 1 year of Client and/or Project experience
- Minimum of 2 years’ technical solutions implementation, architecture design, evaluation and investigation in a cloud environment (specifically AWS, Azure and/or GCP)
- Bachelor’s degree in Computer Science, Engineering, Technical Science or equivalent (minimum 12 years) work experience
- You have hands-on experience with any of the following programming languages: PySpark, Python, Java, R, Scala, Go
- You are AWS, Azure, or GCP Certified