招聘
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 : Machine Learning (ML)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data architecture, ensuring that the data solutions are efficient and scalable.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the design and implementation of data architecture to support data initiatives.
- Monitor and optimize data pipelines for performance and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning.
- Secondary Skills : Python,Datascience,Machine Learning Ops.
- Strong understanding of data processing frameworks such as Apache Spark or Hadoop.
- Experience with database management systems, including SQL and NoSQL databases.
- Familiarity with data warehousing concepts and tools.
- Knowledge of programming languages such as Python or Java for data manipulation.
Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning.
- 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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About Accenture

Accenture
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Pros
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Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
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Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
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Duration
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Offer Rate
17%
Experience
Positive 0%
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1
Application Review
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Recruiter Screen
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Technical/Task-Based Interview
4
Final Interview
5
Offer
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Behavioral/STAR
Past Experience
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