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Snowflake - Functional with SAP background_Infosys(C2H)

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Hybrid

Snowflake - Functional with SAP background_Infosys(C2H)

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Snowflake - Functional with SAP background_Infosys(C2H)

Skills

SQL QueriesTableauData MiningSnowflakeData AnalysisSAP ERPCompliancePower BI

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,500,000 – ₹2,750,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

30 September 2026

What they need


Job Description*

Business & Functional Analysis

  • Gather and analyze business requirements across Finance (FI/CO), Order-to-Cash, Procure-to-Pay, and Treasury
  • Define KPIs, metrics, and reporting needs for analytics and dashboards
  • Collaborate with business stakeholders to translate requirements into data solutions

Data Mapping & Transformation

  • Develop and maintain Source-to-Target Mapping (STM) documents (SAP Snowflake)
  • Define transformation rules, data harmonization, and standardization logic
  • Design and manage mapping/reference tables for consistent data processing

Data Modeling Support

  • Work with Data Architects to design fact and dimension models

  • Validate data models to ensure alignment with business use cases

  • Ensure proper handling of:

  • Master data (Customer, Vendor, BP)

  • Transactional data (GL, Billing, Payments)

Integration Alignment (SAP / BTP / Snowflake)

  • Collaborate with SAP and BTP teams to understand:

  • Data extraction mechanisms (IDocs, APIs, AIF)

  • Data flow from S/4HANA to Snowflake

  • Ensure data integrity and consistency across systems

Testing & Data Validation

  • Define and execute UAT scenarios
  • Perform data reconciliation between SAP and Snowflake
  • Validate KPIs, reports, and dashboards against business expectations

Reporting & Analytics Enablement

  • Support BI teams (Power BI/Tableau) with:

  • Data definitions

  • KPI logic

  • Data consumption layers

  • Ensure data models are optimized for reporting performance

Data Governance & Quality

  • Define data quality rules and validation checks
  • Support data lineage, audit, and compliance requirements
  • Work with governance tools (if applicable)

Functional Expertise

  • Strong knowledge of business processes:

  • Finance (GL, AR, AP, COPA preferred)

  • SAP S/4HANA data structures (ACDOCA, BSEG, BKPF)

  • Experience with SAP Business Partner and master data concepts

Data & Analytics Knowledge

  • Understanding of:

  • Data warehousing (Star/Snowflake schema)

  • Data modeling concepts (fact/dimension design)

  • Ability to interpret and validate SQL outputs

Snowflake Exposure

  • Experience working in Snowflake environments

  • Familiarity with:

  • Data pipelines

  • Data ingestion concepts (ELT/ETL)

  • Data sharing and performance considerations

Integration Knowledge (Preferred)

  • Exposure to SAP BTP, APIs, IDocs, or middleware tools
  • Understanding of end-to-end data flow (SAP Snowflake)

Key Skills

  • Strong analytical and problem-solving skills
  • Business-to-data translation capability
  • Data mapping and documentation expertise
  • Stakeholder communication (business + technical teams)
  • Attention to detail in data validation and reconciliation

Deliverables

  • Business Requirements Documents (BRD)
  • Functional Specifications
  • Source-to-Target Mapping (STM)
  • KPI Definitions & Data Dictionaries
  • UAT Test Scenarios & Validation Reports

Is travel required for position?*

No

Practice Unit (PU)*

FSSAP

ECMS REQ ID*

569739

Project Location*

Hyderabad STP (Gachibowli) / Pune

Delivery SPOC*

Joshi Dharini Damodar

Relevant Experience*

5-8 Years

Mandatory skills*

Snowflake - Functional with SAP background

Desired skills*

  • SAP S/4HANA or ECC functional background (FI/CO, SD, MM, or BRIM)
  • Experience in finance data modeling and reporting
  • Exposure to BI tools like Power BI or Tableau
  • Experience working in large-scale data transformation programs

Domain (Industry)*

Financial services

BGC (Before onboarding / After onboarding/Hybrid onboarding)*

Post onboarding

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