Data Platform Engineer

Posted:
8/27/2024, 9:24:30 PM

Location(s):
Uttar Pradesh, India ⋅ Noida, Uttar Pradesh, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics ⋅ Software Engineering

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Microsoft Azure Data Services
Good to have skills : Python (Programming Language), Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform
Minimum 5 year(s) of experience is required
Educational Qualification : Minimum 15 years of education

Summary: As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform, ensuring cohesive integration between systems and data models. Your typical day will involve working with Microsoft Azure Data Services, collaborating with Integration Architects and Data Architects, and utilizing your expertise in Python and Databricks Unified Data Analytics Platform. Roles & Responsibilities: - Assist with the blueprint and design of the data platform, encompassing the relevant data platform components. - Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. - Implement and maintain data pipelines using Microsoft Azure Data Services. - Develop and maintain data processing and transformation jobs using Databricks Unified Data Analytics Platform. - Troubleshoot and optimize data pipelines and data processing jobs for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Expertise in Microsoft Azure Data Services. - Good To Have Skills: Proficiency in Python, Microsoft Azure Modern Data Platform, and Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with data integration and ETL processes. - Familiarity with data warehousing and data lake concepts. - Knowledge of data security and compliance best practices. Additional Information: - The candidate should have a minimum of 5 years of experience in Microsoft Azure Data Services. - 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 Hyderabad office.

Minimum 15 years of 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.

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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

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