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Hyderabad · Hybrid · 4-7 Yrs · 2 days ago
Computer Hardware Development · 10000+ Employees · Redmond, US
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. When you join Microsoft, you're not just taking on a job, you're embracing a calling. A calling where your individual contributions amplify into a collective force championing global progress and innovation. Rooted in a growth mindset, Microsoft believes in nurturing potential, embracing change, and lifelong learning. As part of Team Microsoft, you'll collaborate across boundaries, building upon the ideas of others, unified by our shared mission. Together, our aspirations become tangible. Consider Microsoft to make world-changing impact. Because impact matters. Join us at careers.microsoft.com
Hiring: Engineering
What employees say
+ Large team, good business moat, great collaboration
− Work-life-balance not so good in recent years, pay not at par with market
More reviews on the company profile.
Interview experience · Program Manager II
The interview process was well-structured and professional. The questions were relevant to the role and covered both technical and behavioral aspects. The interviewers were friendly and gave me a good opportunity to expl
Average difficulty · Bengaluru · 2,475 reports
More interview insightsJob description
Overview
# Overview Microsoft Industry Solutions - Global Center for Innovation and Delivery Center (GCID) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies.
Responsibilities
- Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release.
- Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
- Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies.
- Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements.
- Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
- Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
- Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.
- Responsible for implementing the technology strategy with support from Senior peers
- Applies information-compliance and assurance policies to ensure stakeholder confidence.
- Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.
- Consistently upskills through regular trainings and certifications on Azure Data and AI to be able to contribute to the future needs of the organization and customers
Qualifications
- 4 - 6 years of experience
- Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.
- Knowledge of solution design, planning, development and deployment of complex solutions
- One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
- Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
- Strong foundational experience with Azure Data Services and data platform modernization initiatives
- Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus
- Hands-on experience building AI-powered data pipelines using ETL/ELT tools like:
- Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow
- Exposure to data migrations, platform upgrades, and modernization efforts
- Understanding of multitenant data platform designs, basic security hardening, and access control concepts
- Knowledge of Big Data ecosystems like Spark, Databricks, Kafka, Hadoop, etc.
- Exposure to operationalizing ML pipelines and MLOps concepts, on Azure stack
- Foundational knowledge of:
- Large Language Models (LLMs)
- Model training, evaluation, and deployment workflows
- Azure cloud and AI stack like Azure Foundry, Azure OpenAI, etc
- Handson experience or knowledge in one or more of:
- NLP, Document Intelligence & Indexing
- Computer Vision
- RAG frameworks or AI Search
- Basic understanding of Prompt Engineering
- Exposure to or knowledge of deep learning/Gen AI frameworks such as TensorFlow/PyTorch, and orchestration frameworks like LangChain/LangGraph
- Familiarity with Responsible AI principles – fairness, interpretability, and governance
- Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and deployment workflows, preferably on Azure Foundry
- Knowledge of secure coding practices, observability basics, and performance considerations
- Handson programming experience, preferably in Python
- Ability to work closely with senior consultants, architects, and customers to co-create innovative solutions with customers to help solve their business challenges
- Strong communication skills to explain technical concepts to business stakeholders
- Comfortable working in ambiguous environments, learning quickly, and adapting to change
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Last updated 21 September 2026
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- This is a mid-level Consultant - Data Engineer + AI role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.