Cloud Migration Engineer

Accenture; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Accenture is seeking a Cloud Migration Engineer in the Philippines to assess existing solutions and plan migration to private and public cloud technologies, delivering scalable data and application migration for high-performance outcomes.

The role requires 5+ years of experience, strong SQL and data engineering, Python, and experience with Looker-based data visualization. You will work with cross-functional teams to design, develop, and document migration strategies and dashboards.

Qualifications

• Minimum 5 years of experience is required.
• Proficiency in data science, SQL, and data engineering is expected.
• Educational qualification is equal to 15 years of full-time education.

Responsibilities

• 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 quality.
• Analyze vast datasets to identify trends and correlations for informed decisions.
• Provide timely insights and actionable recommendations for business questions.
• Develop machine learning solutions including audience segmentation and engagement prioritization.
• Communicate complex findings to technical and non-technical stakeholders clearly.
• Create dashboards using Looker to transform data into visual insights.
• Design and maintain user-friendly data visualizations aligning with project objectives.
• Document methodologies, data sources, and models for transparency.

Skills

Data Science

SQL

Data Engineering

Python

Looker

Machine Learning

Statistical Analysis

Agile SDLC

Education

15 years full time education

Tools

Python (Programming Language)

SQL

BigQuery ML

Looker

Pandas

Numpy

Scikit-learn

Job description

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 communication 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

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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