Data Engineering Expert – Financial Data Pipeline Development

3 days ago

Pune, Maharashtra, India Elongo Global Solutions Full time ₹ 12,00,000 - ₹ 24,00,000 per year

 About the Role

We're looking for a 
Data Engineering Expert
 to design and build a 
financial data pipeline
 that connects 
SAP BW
 and 
SAP BFC
 to our 
Azure Data Platform
.

This role is crucial in enabling seamless integration and real-time flow of financial data, which will later power 
AI-driven predictive models
 for company KPI forecasting.

If you have hands-on experience in 
Azure Functions, Kafka, MS Fabric
, and deep knowledge of 
SAP financial systems
, this is your chance to shape a high-impact project that merges 
finance, data engineering, and AI innovation
.

 Your Mission

You'll lead the development of an end-to-end 
financial data pipeline
 — from data ingestion to analytics readiness — ensuring scalability, accuracy, and security across all stages.

 Key Responsibilities

  • Design & Build Pipelines:
     Develop robust and secure data pipelines between 
    SAP BW
    , 
    SAP BFC
    , and 
    Azure Data Platform
    .
  • Data Integration:
     Streamline data ingestion from SAP systems to Azure using 
    Azure Functions
    , 
    Kafka
    , and 
    MS Fabric
    .
  • Optimize Performance:
     Ensure efficient, real-time data processing for financial reporting and analytics.
  • Enable AI Insights:
     Structure and prepare data for consumption by 
    AI models
     to predict company KPIs.
  • Documentation & Support:
     Deliver detailed documentation, handover materials, and team training for future maintenance.

 Required Skills & Expertise

  • Proven experience with 
    Azure Data Engineering
     and 
    pipeline development
    .
  • Strong hands-on knowledge of 
    SAP BW
     and 
    SAP BFC
     (financial consolidation and reporting).
  • Proficiency in 
    Azure Functions
    , 
    Apache Kafka
    , and 
    MS Fabric
    .
  • Solid understanding of 
    financial data structures
     and 
    ETL processes
    .
  • Working knowledge of 
    Python
     for data transformation and automation.
  • Strong understanding of 
    data security
    , 
    integrity
    , and 
    governance principles
    .

 Nice to Have

  • Experience integrating 
    financial ERP data
     into 
    cloud-based analytics platforms
    .
  • Familiarity with 
    AI/ML model data preparation
     or predictive analytics.
  • Exposure to 
    real-time data streaming
     and event-driven architectures.

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