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Data Eng, Mgmt & Governance Specialist

Accenture

Data Eng, Mgmt & Governance Specialist

Accenture

Bengaluru

·

On-site

·

Full-time

·

1d ago

Skill required:

Data Management

  • Azure Data Factory

Designation:

Data Eng, Mgmt & Governance Specialist

Qualifications:

BE/BTech

Years of Experience:

7 to 11 years

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security.

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. Data Management involves the process of collecting, storing, organizing, and maintaining data. It ensures that data is accurate, accessible, and secure. The goal is to support decision-making, improve efficiency, and comply with regulations by effectively handling data throughout its lifecycle. Primary skillsets often include Data Engineering with AWS. Understand client requirements and build ETL solution using Azure Data Factory, Azure SQL & ADLS. Build solution in such a way that it can absorb clients change request very easily. Find innovative ways to accomplish tasks and handle multiple projects simultaneously and independently. Works with Data & appropriate teams to effectively source required data. Identify data gaps and work with client teams to effectively communicate the findings to stakeholders/clients.
What are we looking for? • Bachelors degree in Engineering or Science or equivalent graduates with experience in data management including data integration, modeling & optimization • Minimum 5 years of experience working on Azure Cloud, Azure Data Factory, Azure Databricks, Azure Data Lake • In-depth understanding of Data Warehousing, ETL concept and modeling principles • Strong ability to design, build and manage data • Strong understanding of Data integration • Strong Analytical and problem-solving skills • Strong Communication & client interaction skills • Ability to design database to store huge data necessary for reporting & dashboarding • Ability and willingness to acquire knowledge on the new technologies, good analytical and interpersonal skills with ability to interact with individuals at all levels

Roles and Responsibilities:

  • Set up Azure Data Factory (ADF) pipelines with linked services, triggers, and parameterization • Create Data Pipelines, Data Flow, Data Model according to the business requirement • Containerize ETL workflows using Azure Container Apps. Configure scheduling through Azure Service Bus for pipeline execution • Strong experience working on Azure Data Lake Storage (ADLS), Azure data platform, Azure Data Factory (ADF), Azure Data Bricks (ADB) • Use Ansible playbooks for infrastructure provisioning and deployment consistency • Maintain Redis cache for intermediate LLM processing states • Implement monitoring and logging with Azure Application Insights • Align ingestion schemas and infrastructure with downstream analytics and AI workflows • Effectively work with client and handle client interactions

BE,BTech

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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About Accenture

Accenture

Accenture

Public

Accenture 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+

Employees

Dublin

Headquarters

$139B

Valuation

Reviews

3.6

9 reviews

Work-life balance

2.8

Compensation

3.5

Culture

3.2

Career

3.8

Management

3.0

65%

Recommend to a friend

Pros

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

Cons

High levels of politics

Long hours and stress

Slow moving processes

Salary Ranges

20 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$63,830

total per year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

Interview experience

6 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer rate

17%

Experience

Positive 0%

Neutral 67%

Negative 33%

Interview process

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit