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 : Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Senior Data Engineer/Backend Developer with deep knowledge on Databricks or MS Fabric, you will design, develop, and maintain scalable data pipelines and systems using Databricks/Fabric. Your typical day will involve optimizing and tuning of data processing workflows for better performance. You will also be responsible to ensure data quality, integrity and security across applications. You should possess very good communication skills to liaise with the client stakeholders and other experts like Data scientists, architects and modelers to translate business requirements into effective data solutions, while also addressing any challenges that arise during the development process. Roles & Responsibilities: - Independently design, build, and maintain scalable ETL/ELT pipelines using Databricks with Py Spark to integrate and transform data from various sources - Monitor, troubleshoot, and optimize Spark jobs and clusters to ensure high performance and cost-efficiency for large datasets - Build automated workflows using Databricks Workflows or other orchestration tools - Engage with multiple teams like data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions to contribute on key decisions. - Utilize version control tools like Git and practice CI/CD best practices for automating deployments. - Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement. Professional & Technical Skills: - Must Have Skills: Proficiency in Databricks with strong troubleshooting skills. - Good to have skill: Understanding MS Fabric concepts - Strong understanding of data modeling techniques and best practices. - Experience with data pipelines, ETL processes and data integration tools. - Proficiency in Apache Spark and in programming languages such as Python. - Familiarity with cloud data platforms and services. - Ability to design and implement data governance frameworks. - Hands-on ability to handle large volumes of data in day-to-day tasks. Additional Information: - The candidate should have minimum 4 years of experience in Databricks. - A 15 year 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.