About the role
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.
About the company
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