Engineering Services Practitioner
Accenture
9 - 11 years
Bengaluru
Posted: 9/9/2024
Job Description
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.
About Company
Accenture is a global professional services company that provides a broad range of services in strategy, consulting, digital, technology, and operations. Headquartered in Dublin, Ireland, Accenture operates in more than 120 countries and serves clients in various industries, including finance, healthcare, technology, and consumer goods. The company focuses on delivering innovative solutions and digital transformation services to help businesses improve efficiency, enhance performance, and drive growth. Accenture is known for its extensive use of technology and data analytics to solve complex business challenges and maintain a competitive edge in a rapidly changing market.
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