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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end data engineering for billing transformation focused on sourcing telemetry data, building scalable pipelines, and preparing billing-ready outputs for SAP invoicing.
Implement and maintain data quality checks, reconciliation controls, audit trails, exception handling, and operational monitoring to ensure accurate billing.
Design and deploy CI/CD pipelines for data engineering workflows along with technical documentation and monitoring dashboards.
Minimum Requirements
Strong hands-on experience in data engineering, ETL/ELT development, large-scale pipeline design, and cloud data processing with AWS Glue, PySpark, Python, SQL.
Experience with Snowflake as data warehouse or enterprise data platform.
Proven track record implementing usage-based billing, rating engines, invoice feeds, or financial data processing pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced technically in cloud-based big data engineering with strong focus on financial/usage-based billing domain.
Comfortable owning data quality frameworks, exception management, and operational observability in production data pipelines.
Capable of collaborating cross-functionally with Finance, Engineering, and Analytics teams for supporting critical billing transformation.