Senior Data Engineer In

## About the company Videris is a leading Data Platform, System Integration firm serving, Telecom, Healthcare, Fintech, Aviation Domains. We build end-to-end systems, robust data pipelines and Analytical solutions driving business efficiencies. ## Role Overview We are seeking a strong Senior Data Engineer to join our team, contributing to a key data transformation project in the telecom environment. This role requires a hands-on engineer with solid experience in modern data platforms and ELT methodologies, capable of translating data requirements into practical technical implementations. You will focus on integrating and transforming data from various operational and business support systems, including customer relationship management, billing, order management, and geographical location systems, as well as data related to commercial and consumer business operations. ## Key Responsibilities - Data Integration from Key Systems: - Integrate data sets from core operational systems, including customer relationship management (CRM) platforms, billing systems, order fulfillment/service provisioning systems, and geographical location master data repositories. - Incorporate data related to customer demographics, service usage patterns, inventory, order processing workflows, and location-based information. - Utilize Precise360 pipeline orchestration inputs, job triggers, and scheduling dependencies to ensure efficient data flow and integration. - Implement data integration requirements provided by product managers. - Data Modeling & Transformation (ELT): - Integrate data sets from core operational systems, including customer relationship management (CRM) platforms, billing systems, order fulfillment/service provisioning systems, and geographical location master data repositories. - Incorporate data related to customer demographics, service usage patterns, inventory, order processing workflows, and location-based information. - Utilize Precise360 pipeline orchestration inputs, job triggers, and scheduling dependencies to ensure efficient data flow and integration. - Implement data integration requirements provided by product managers. - Pipeline Development & Optimization: - Develop and optimize data ingestion pipelines using Matillion and Fivetran. - Implement orchestration, monitoring, and governance controls for data delivery, traceability, and quality, utilizing Precise360. - Apply performance tuning and optimization techniques to ensure efficient data processing. - Testing & Validation: - Develop and execute test cases to ensure data accuracy, integrity, and consistency across integrated systems. - Validate semantic layer outputs and data consistency across various data sources. - Provide support for User Acceptance Testing (UAT) and resolve data-related issues. - Deployment & Documentation: - Deploy data solutions within the client's environment. - Troubleshoot and resolve environmental issues related to data deliverables. - Document data model modifications, data flows, and transformation logic. - Provide knowledge transfer to relevant teams. ## Qualifications - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. - 5+ years of experience as a Data Engineer, with a focus on data transformation and integration, particularly with data from operational and business support systems. - Experience working with data from customer relationship management, billing, order management, and location-based systems, preferably within the telecom industry. - Expertise in ELT processes and Medallion architecture. - Proficiency with data integration and transformation tools such as Matillion and Fivetran. - Experience with orchestration tools such as Precise360. - Strong SQL and data transformation skills. - Experience with cloud-based data platforms. - Strong problem-solving, analytical, and communication skills.