Accenture 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 and/or Azure 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
Here's What You Need:
Minimum of 2 years hands-on experience within the cloud environment (specifically AWS, Azure and/or GCP)
Minimum of 1 year in a client and/or project setting that encompasses full SDLC as well as professional experience in solution/technical architecture in the cloud
Minimum of 1 year of experience in Big Data/analytics/information analysis/database management/ event-driven/microservices/DevOps/ML Ops in the cloud
Minimum of 1 year of hands-on experience with any of the following programming languages: PySpark, Python, Java, R, Scala, Go
Bonus Points If:
You have a minimum of 1 year of experience in Cloud Platforms (specifically AWS and/or Azure)
You have a minimum of 1 year of full stack data engineering experience in any cloud platform
You are AWS or Azure Certified
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 using Spark in combination with pySpark, Java, Scala or Python
As required by the
Colorado Equal Pay Transparency Act, Accenture provides a reasonable range of compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only, the range of starting pay for this role is $90,880 - $167,600 and information on benefits offered is here.
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