NMandatory: SAP Functional Knowledge (SD/MM/FI/HANA)
NAzure Data Services (ADLS, ADF, Synapse)
NMandatory: AI/Data Approach (Data Quality, ML readiness, automation)
NSection III - Job Requirements and Responsibilities
NDetails / Example Content
NJob Requirements*
n
N
- 4–6 years of experiencein Data Integration / ETL development
N
- Minimum 2.5+ years of strong hands-on experience in Informatica Intelligent Cloud Services (IICS)
N
- Expertise in Cloud DataIntegration (CDI) and Application Integration (CAI)
N
- Strong SQL skills and understanding of data warehousing concepts
N
- Experience integrating data from SAP systems (ECC/S/4HANA)
N
- Exposure to Azure data ecosystem (Data Lake, Synapse, ADF)
N
- Knowledge of API-based integrations (REST/SOAP)
N
- Understanding of AI-ready data pipelines and modern data architecture
N
- Ability to work in Agile environments and manage multiple priorities
N
nKey Responsibilities*
N
n
- Design, develop,
and deploy data integration pipelines using IICS (90% focus)
N
- Build scalable ETL/ELT workflows for structured and semi-structured data
N
- Extract and integrate SAP data into cloud platforms
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- Develop metadata-drivenand reusable frameworks in IICS
N
- Implement data quality checks, validation rules, and governance standards
N
- Work with Azure services like:
N
- Azure Data Lake (ADLS)
N
- Azure Synapse / SQL
N
- Enable AI-ready datasets (feature engineering, historical modeling)
N
- Optimize job performance, scalability, and cost
N
- Handle production support, debugging, and performance tuning
N
- Collaborate with business and SAP functional teams
N