Project Role : Engineering Services Practitioner
Project Role Description : Assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. Solve engineering problems and achieve business objectives using scientific, socio-economic, technical knowledge and practical experience. Work across structural and stress design, qualification, configuration and technical management.
Must have skills : Python (Programming Language)
Good to have skills : Data Analytics, Data Engineering, Databricks, Azure DevOps (CI/CD)
Minimum 3 year(s) of experience is required
Educational Qualification : BE or B Tech or M tech

Summary: As an Engineering Services Practitioner, you will assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. You will work across structural and stress design, qualification, configuration, and technical management. Your typical day will involve solving engineering problems and achieving business objectives using scientific, socio-economic, technical knowledge, and practical experience. Roles & Responsibilities: - Mentor and provide technical guidance to junior data engineers in the team - Knowledge of Data Bricks delta concept– Delta live tables (DLT) - Strong hands-on experience in ELT– pipeline development using Azure Data factory and Databricks Autoloader. - Develop and implement data models to support analytics and business intelligence needs - In-depth knowledge of data storage solutions, including Azure Data Lake Storage (ADLS) - Write clean, efficient, and well-documented code following industry best practices. - Deploy code on CI/CD pipelines to ensure seamless integration and delivery. - Work closely with AI/ML team to operationalize and utilize models for business needs - Understanding of data models. - Analyzing functional requirements. - Experience in lib like Numpy, Panda. - Hands-on AI/ML Data analytics algos. - Creating data models for machine learning and training them using transformed data from ETL pipelines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with Data Engineering, Data Analytics. - Agile Scrum Product Development Methodology. - Python, PySpark, Databricks, Postgres, MongoDB, Azure ML. - Data Modelling, Data Analytics, Machine Learning using Python, DB skills (RDBMS & NoSql) - Python, PySpark, Databricks, DataFactory, ETL, DB skills (RDBMS & NoSql), Azure DevOps (CI/CD), DataStage (good to have), Azure (basic) Additional Information: - The candidate should have a minimum of 5 to 9 years of experience in Python (Programming Language), data engineering, data science. - This position is based at our Gurugram office. - A BE or B Tech or M tech is required.

BE or B Tech or M tech

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 750,000 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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