Solution Architect WGDT
Solution Architect WGDT
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Job Description
Job Description- Data Engineer/ Solution Architect
- Collaborate with data scientists software engineers and business stakeholders to understand data requirements and design efficient data models.
- Develop implement and maintain robust and scalable data pipelines ETL processes and data integration solutions.
- Extract transform and load data from various sources ensuring data quality integrity and consistency.
- Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently.
- Perform data cleaning normalization and enrichment tasks to prepare datasets for analysis and modelling.
- Monitor data flows and processes identify and resolve data-related issues and bottlenecks.
- Contribute to the continuous improvement of data engineering practices and standards within the organization.
- Proficiency in programming languages such as Python SQL and Web Scrapping.
- Stay up-to-date with industry trends and emerging technologies in data engineering artificial intelligence and dynamic pricing
- Strong passion for data engineering artificial intelligence and problem-solving.
Bachelors or Masters degree in Computer Science Data Science AI or any related field.
Excellent analytical and problem-solving skills with a keen eye for detail.
Required Skills:
Job Description- Data Engineer/ Solution Architect Collaborate with data scientists software engineers and business stakeholders to understand data requirements and design efficient data models. Develop implement and maintain robust and scalable data pipelines ETL processes and data integration solutions. Extract transform and load data from various sources ensuring data quality integrity and consistency. Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently. Perform data cleaning normalization and enrichment tasks to prepare datasets for analysis and modelling. Monitor data flows and processes identify and resolve data-related issues and bottlenecks. Contribute to the continuous improvement of data engineering practices and standards within the organization. Proficiency in programming languages such as Python SQL and Web Scrapping. Stay up-to-date with industry trends and emerging technologies in data engineering artificial intelligence and dynamic pricing Strong passion for data engineering artificial intelligence and problem-solving. Preferred Qualification: Bachelors or Masters degree in Computer Science Data Science AI or any related field. Excellent analytical and problem-solving skills with a keen eye for detail.
Required Education:
B. Tech
Employment Type
Full Time
