Vericence is looking to solve the problem of designing, building, and maintaining large-scale data pipelines and integrations across their SAP ecosystems, with a strong emphasis on SAP BRIM, SAP FICO, and core SAP modules.
Requirements
- 7+ years of data engineering experience (SQL, Python, ETL/ELT patterns)
- 5+ years of experience extracting and modeling data from SAP ECC or S/4HANA
- 3+ years working directly with SAP FICO datasets
- Hands-on technical exposure to SAP BRIM billing processes and data models
- Experience with cloud ingestion and orchestration tools such as Azure Data Factory, AWS Glue, GCP Composer
- Strong understanding of financial systems, billing invoicing payments data flows, and reconciliation logic
- Experience working with cloud data warehouses (Snowflake, Databricks, Redshift, BigQuery)
Responsibilities
- Build, optimize, and maintain ETL/ELT pipelines for SAP data ingestion using SQL, Python, and modern data engineering tools.
- Develop curated data models, semantic layers, and analytical datasets for Finance, Billing, and Operational teams.
- Implement data quality rules, reconciliation logic, lineage tracking, and governance frameworks.
- Integrate SAP data with cloud platforms (Azure, AWS, GCP) and enterprise data warehouses (Snowflake, BigQuery, Databricks).
- Ensure accuracy, consistency, and audit readiness for financial and billing data.
- Support SOX, HIPAA, and internal data-security requirements.
- Work with SAP ECC/S/4HANA tables, CDS views, IDocs, BAPIs, and extraction frameworks.
Other
- Collaborate closely with Finance, Billing, Payments, Procurement, Architecture, and Enterprise Data Engineering teams
- Ensure accurate, governed, and trusted SAP data delivery for downstream analytics and operational decision-making
- Support period close, profitability, and audit/compliance reporting
- Experience in regulated industries (healthcare, finance, insurance) (preferred)
- Familiarity with SOX/HIPAA data-control requirements (preferred)
