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Project Role :
Data Engineer
Project Role Description :
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills :
Data Engineering
Good to have skills :
NA
Minimum 5 year(s) of experience is required
Educational Qualification :
15 years full time education
Summary:
As a Data Engineer, you will design, build, and maintain scalable data solutions that enable reliable data ingestion, transformation, and analytics across the organization. The role requires strong hands-on expertise in dbt and Python to develop modern ELT pipelines, ensure data quality, and support analytics and downstream consumption. You will work closely with cross-functional teams to migrate, optimize, and govern data workflows across platforms while ensuring high standards of performance, reliability, and data integrity.
Roles & Responsibilities:
Act as a Subject Matter Expert (SME) for data engineering solutions, with a strong focus on dbt-based transformation frameworks and Python-driven pipelines.
Collaborate with, guide, and manage the team to deliver high-quality data engineering outcomes.
Own and drive technical decisions for the team and contribute to broader architectural and design decisions across multiple teams.
Design, develop, and maintain scalable and reliable data pipelines using dbt, Python, and modern data platforms.
Lead initiatives to identify, analyze, and resolve complex data-related challenges, ensuring seamless data flow and accessibility.
Ensure best practices in data modeling, transformation logic, testing, and documentation using dbt.
Promote data quality, governance, and observability across the data lifecycle.
Foster a collaborative and learning-oriented environment through mentoring, code reviews, and knowledge sharing.
Coordinate with cross-functional stakeholders to align data engineering solutions with organizational and business goals.
Professional & Technical Skills:
Strong hands-on experience with dbt (data build tool) for data modeling, transformations, testing, and documentation.
Strong proficiency in Python, including building data pipelines, utilities, and automation for data processing.
Must To Have Skills: Proficiency in Data Engineering.
Experience with designing and building scalable data pipelines and architectures.
Strong knowledge of data integration techniques and ETL processes.
Familiarity with cloud-based data platforms and distributed computing frameworks.
Ability to optimize data workflows for performance and reliability.
Understanding of data governance and data quality best practices.
Additional Information:
The candidate should have minimum 5 years of experience in Data Engineering.
This position is based at our Bengaluru office.
A 15 years full time education is required.
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
ニュース&話題
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1d ago
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