Application Developer
Accenture
2 - 5 years
Gurugram
Posted: 9/9/2024
Job Description
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Python (Programming Language)
Good to have skills : Google Cloud SQL, Oracle Procedural Language Extensions to SQL (PLSQL)
Minimum 12 year(s) of experience is required
Educational Qualification : Any bachelors Degree
Python Data Engineer Job Description As a Big Data Engineer, you will be responsible for designing and developing data pipelines using Python and Dataproc/DataFlow/Composer. Your role involves performing moderate to complex data transformations and derivations. Here are the key responsibilities and qualifications: Duties & Responsibilities: Design and develop data pipelines in Python. Load data from disparate sources and preprocess it . Provide data engineering expertise to multiple teams across the organization. Lead efforts to document source-to-target mappings and design logical data models. Optimize data performance and ease of use. Collaborate with other designers and architects within Business Intelligence and IT. Qualifications: Relevant education (Bachelors or Masters Degree) in Computer Science, Engineering, Statistics, or related fields. Proficiency in SQL, Python. Familiarity with distributed systems and data architecture. Experience working in cloud environments (e.g., GCP). Strong algorithmic concepts in computer science
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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