Data Engineer

Posted:
9/4/2024, 3:57:37 AM

Location(s):
Mumbai, Maharashtra, India ⋅ Haryana, India ⋅ Maharashtra, India ⋅ Gurugram, Haryana, India ⋅ Karnataka, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

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 Building Tool DBT
Good to have skills : Microsoft Azure Analytics Services
Minimum 5 year(s) of experience is required
Educational Qualification : Full Time Education

Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions using Data Building Tool DBT. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. Roles & Responsibilities: - Design, develop, and maintain data solutions for data generation, collection, and processing using Data Building Tool DBT. - Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs. - Develop and maintain documentation for data solutions, including data models, data dictionaries, and data flow diagrams. Professional & Technical Skills: - Must To Have Skills: Experience in Data Building Tool DBT. - Good To Have Skills: Experience with Microsoft Azure Analytics Services, Databricks Unified Data Analytics Platform. - Strong understanding of ETL processes and data migration techniques. - Experience with data modeling, data warehousing, and data integration. - Proficiency in SQL and other programming languages. - Experience with cloud-based data solutions and technologies. Additional Information: - The candidate should have a minimum of 5 years of experience in Data Engineering. - The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Mumbai office.

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 742,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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


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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing