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Sr. Data Engineer -Finance Systems &Akraya • California, Maryland, United States
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Sr. Data Engineer -Finance Systems &

Akraya
  • US
    California, Maryland, United States
  • US
    California, Maryland, United States
Ähnliche Jobs finden

Über

Primary Skills: SQL (advanced), Python (advanced), Cloud Data Warehousing (advanced), ETL (advanced), ERP Data Structures (advanced). Contract Type: W2. Duration: 12 months with possible extension. Location: Sunnyvale, CA (Remote). Pay Range: $80.00–$95.00/hr. #LP.
Job Summary This role focuses on building a foundational cloud‑based data ecosystem specifically for the finance organization. You will be responsible for integrating fragmented financial data from various systems into a unified, real‑time platform. Your contributions will directly enable advanced financial analytics and automation initiatives.
Key Responsibilities
Design, build, and maintain scalable, robust data pipelines (ETL/ELT) that ingest complex financial data into our cloud data platform.
Architect data models tailored for financial reporting, ensuring they support critical processes like Order‑to‑Cash (O2C), Record‑to‑Report (R2R), and Source‑to‑Pay (S2P).
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of financial data sources (specifically SAP S/4HANA, legacy ERPs, and third‑party financial APIs).
Implement strict data governance, data lineage, and security controls required for sensitive financial and compliance data (SOX, GDPR, etc.).
Eliminate data fragmentation by unifying disjointed billing, procurement, and accounting systems into a single, high‑performance data lake.
Optimize data structures to support real‑time financial reporting, reducing close cycles from weeks to days.
Must‑Have Skills
7+ years of experience as a Data Engineer, with at least 2–3 years focused heavily on financial data systems.
Deep expertise in modern cloud data warehouses and hyperscalers (e.g., Google BigQuery, Snowflake, AWS Redshift, or Databricks).
Advanced proficiency in SQL and Python (or Scala/Java) for data manipulation and pipeline orchestration (e.g., Airflow, dbt).
Direct experience working with the data structures and tables of major enterprise ERPs, with a strong preference for SAP S/4HANA.
Industry Experience Demonstrated experience working with enterprise ERP systems, particularly SAP S/4HANA, is highly preferred for this role.
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  • California, Maryland, United States

Sprachkenntnisse

  • English
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