Senior Data Engineer- US

About Us Videris is a boutique consulting firm for Data Platform, System Integration solutions serving, Telecom, Healthcare, Fintech, Aviation Domains. We specialize in consolidating multi-domain data complexity into a singular, high-performance intelligence layer.

Role Overview Videris is seeking a Senior Data Engineer to drive technical execution for a large-scale US Telecom data transformation on Snowflake. This is a 100% hands-on role focused on the implementation and optimization of complex ELT pipelines. You will be responsible for deconstructing legacy business logic from core telecom systems and rebuilding it into a high-performance Medallion architecture.

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.

Note: This is a technical, hands-on role focused on implementation and execution, not a managerial position.