Senior Data Engineer

VIDERIS

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.