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Project Role :
Data Platform Engineer
Project Role Description :
Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :
Microsoft Fabric
Good to have skills :
NA
Minimum 3 year(s) of experience is required
Educational Qualification :
15 years full time education
Summary: As a Microsoft Fabric Engineer / Specialist, you will be responsible for designing, developing, and optimizing end-to-end analytics solutions using Microsoft Fabric. You will act as a senior contributor within the team, translating business requirements into reliable, scalable data solutions. Your daily activities will include building and maintaining data pipelines, developing transformation logic, supporting semantic models, and ensuring data quality and performance. You will collaborate closely with cross-functional teams, provide technical guidance to junior analysts, and contribute to decisions that improve solution quality, reusability, and platform standards.
Roles & Responsibilities:
- Act as a Senior Analyst and subject matter contributor for Microsoft Fabric–based solutions.
Analyze business and data requirements and translate them into technical designs aligned with Fabric best practices.
Design and develop data ingestion pipelines using Fabric Data Factory, Dataflows Gen2, and supported connectors.
Build and manage Lakehouse and/or Warehouse objects including tables, views, and curated datasets.
Develop and optimize data transformations using Spark notebooks (Py Spark/SQL) and T SQL.
Implement medallion architecture patterns (Bronze, Silver, Gold) for structured and curated data layers.
Support semantic model development and Power BI datasets, including measures, relationships, and basic performance tuning.
Perform data validation and reconciliation to ensure data accuracy and completeness.
Collaborate with leads and architects on design decisions and solution improvements.
Troubleshoot and resolve data pipeline failures and performance issues.
Participate in code reviews, documentation, and knowledge-sharing sessions.
Support production deployments and ongoing enhancements as part of the delivery lifecycle.
Professional & Technical Skills:
- Must-Have Skills with Microsoft Fabric as listed below
Hands-on experience with Microsoft Fabric, including:
o Lakehouse, Warehouse, One Lake fundamentals
o Fabric Data Factory pipelines and Dataflows Gen2
Strong proficiency in SQL for querying, transformations, and data modeling.
Working knowledge of Py Spark or Spark SQL for data processing.
Understanding of data warehousing concepts (fact/dimension tables, SCDs).
Experience with Power BI datasets and semantic models.
Familiarity with data ingestion patterns (full load, incremental load).
Ability to debug and resolve pipeline and data issues.
Basic understanding of Git-based version control and deployment practices.
Additional Information:
- The candidate should have 3–5 years of experience in data engineering, BI, or analytics roles.
This position is based at our Bengaluru, Chennai, Hyderabad office.
Minimum 15 years of full-time education (or equivalent).
Agile/project-based delivery with close collaboration across teams.
Independently handles assigned modules or datasets.
Actively contributes to improving coding standards and solution quality.
Reliable support during testing and production issues.
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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Accentureについて

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
従業員数
Dublin
本社所在地
$139B
企業価値
レビュー
3.6
9件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
3.2
キャリア
3.8
経営陣
3.0
65%
友人に勧める
良い点
Good career growth and learning opportunities
Great culture and work environment
Challenging and interesting work
改善点
High levels of politics
Long hours and stress
Slow moving processes
給与レンジ
20件のデータ
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0件のレポート
$63,830
年収総額
基本給
$25,532
ストック
$31,915
ボーナス
$6,383
$44,681
$82,979
面接体験
6件の面接
難易度
2.8
/ 5
期間
14-28週間
内定率
17%
体験
ポジティブ 0%
普通 67%
ネガティブ 33%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Cognitive Assessment
4
Technical Interview
5
Behavioral Assessment
6
Final Interview
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
Culture Fit
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2d ago
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