Accenture
Cloud Migration Engineer
Bengaluru
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hirly's read of this role
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 3 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
- Project Role : Cloud Migration Engineer
- Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes.
- Must have skills : Data Science
- Good to have skills : Python (Programming Language)
- Minimum 5 year(s) of experience is required
- Educational Qualification : 15 years full time education
Job Description:
- Utilize advanced statistical and machine learning techniques to address complex business problems
- Develop, refine, and implement models that enhance decision-making processes.
- Perform comprehensive preprocessing of both structured and unstructured data to ensure its quality and relevance
- Analyze vast datasets to identify trends, patterns, and correlations that contribute to informed decision-making
- Conduct ad-hoc analyses to provide timely and relevant insights, along with actionable recommendations to address pressing business questions
- Develop and implement machine learning solutions, including audience segmentation, marketing engagement level evaluation, and prioritization of sales engagement with accounts
- Effectively communicate complex findings and insights to both technical and non-technical stakeholders
- Utilize specialized tools to transform data into visually compelling and easily interpretable dashboards
- Design, develop, and maintain user-friendly data visualizations using Looker that align with project objectives
- Document methodologies, data sources, and models to ensure transparency and reproducibility
- Skills:
- Proficient in SQL and Data Engineering
- Python libraries: Numpy, Pandas, Sklearn, Scipy, Matplotlib
- BigQuery ML
- Linear/ Logistics Regression
- K-means clustering
- Decision trees
- Recommender systems
- Marketing Analytics DS use cases (e.g. customer segmentation, propensity modeling)
- Data modeling
- Dashboarding using Looker
- Experimental design/analysis
- Statistical analysis and hypothesis testing
- Agile methodologies/ SDLC
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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