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Salary
$22k – $56k per year (Estimated)
Location
In office (Bhubaneswar)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Accenture is a leading global professional services company specializing in strategy, consulting, technology, and operations services. Headquartered in Dublin, Ireland, the firm helps organizations optimize their business performance, navigate digital transformation, and implement advanced technologies like AI and cloud computing.
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 : PySpark

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, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.

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.

- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.

- Monitor and optimize data workflows to improve performance and reliability.

- Document data processes and maintain clear communication with stakeholders.

- Assist junior team members by sharing knowledge and providing guidance.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in PySpark.

- Experience in building and managing data pipelines and ETL workflows.

- Strong understanding of distributed computing and big data frameworks.

- Ability to troubleshoot and optimize data processing jobs for efficiency.

- Familiarity with data storage solutions and data modeling concepts.

- Knowledge of data quality assurance and validation techniques.

Additional Information:

- The candidate should have minimum 3 years of experience in PySpark.

- This position is based at our Bhubaneswar 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 atwww.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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. 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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