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.
A cloud data engineering maven who thrives in a team setting where you can turn your prodigious creative and analytical powers to obliterating problems. Your superpower Building and delivering AWS, Azure, and/or GCP Cloud Platforms infrastructure and solutions to help our clients meet the soaring data and cloud demands of AI and machine learning, IoT, advanced analytics, open source and other emerging digital technologies. You have top-notch communication and people skills and you're up for traveling regularly to client sites (post COVID).
- Gather, engineer and prepare data to help clients make smarter decisions
- Help in a full technical discovery, spotting pain points, business and technical requirements, and "as is" and "to be" scenarios
- 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
- Interact mainly with your direct supervisor and be ready to interact with peers and/or managers on the client side and/or within Accenture
- Make your own decisions to define solutions and ask for guidance on complex problems
- Apply methodology, reusable assets, and previous work experience so that your work is always of high quality
- Compare alternative solutions from both technical and business perspectives which support the define-cost and service requirements
- Keep up to speed on new and emerging technologies/patterns/methodologies and products that may be of interest to our clients
- Be ready to rack up those air miles with weekly travel to client sites
Here's what you need:
- Bachelor's degree in Computer Science, Engineering, Technical Science or equivalent (minimum 12 years) work experience
- Minimum of 2 years' technical solutions implementation, architecture design, evaluation and investigation in a cloud environment (specifically AWS, Azure and/or GCP)
- Minimum of 1 year of professional experience in Solution/technical architecture in the cloud
- Minimum of 1 year of Client and/or Project experience
- You are AWS, Azure, or GCP Certified
- You have experience in Big Data/analytics/information analysis/database management/ event-driven/microservices/DevOps/ML Ops in the cloud
- You have experience in any of the Messaging platforms (Kafka, Kinesis, Azure Event Hub, Streaming platforms using PubSub, etc.)
- You have hands-on experience with any of the following programming languages: PySpark, Python, Java, R, Scala, Go
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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
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