Data Engineer (Python/Dataiku/Spark/SAS DI)

As a Data Engineer, this position requires candidate who are enthusiastic about specialized skills in any DE tools like Python/Dataiku/Spark/SAS DI and features. As a member of the team, you will help our clients, by building data pipelines that supports to progress on their Data and Analytics journey. Driving Data Engineering Initiatives: Work with clients to understand and define the data initiatives based on business needs. Review all project architectures/codes and contribute towards the development of the project delivery. Data Integration and ETL Development: Design, develop, and implement data integration solutions using Data Engineering tools like Python/Dataiku/Spark/SAS data integration. Develop and maintain automated data pipelines for real-time and scheduled data ingestions. Performance Tuning and Optimization: Conduct performance tuning and optimization of queries and data models. Optimize data workflows for efficiency and scalability. Database Design and Implementation: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration and Communication: Work closely with cross-functional teams to gather requirements and translate them into technical specifications. Collaborate seamlessly with clients across multiple geographies. Problem Solving and Troubleshooting: Troubleshoot and resolve data-related issues. Apply strong analytical and problem-solving abilities to ensure data quality. Drive the Project & Technical Team: Work with client to gather the data requirements. Provide required technical support to development team while delivering the code/project. Manage end to project deliverables as technical lead/spoc for client and Infocepts.

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