SAP Data Engineer
CLIQHR Recruitment Services
contract
Posted on:
Location Type: Remote
Location: India
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About the role
- Translate SAP table structures and business processes (SD, MM, FI, O2C, P2P) into scalable data models
- Design and develop robust ETL/ELT pipelines to replicate data from SAP S/4HANA, ECC, and other sources into BigQuery
- Implement data warehousing best practices and advanced SQL transformations (Stored Procedures, Table Functions, Window Functions)
- Develop and manage Slowly Changing Dimensions (SCD), Change Data Capture (CDC), and entity resolution strategies
- Optimize queries using partitioning, clustering, and performance tuning techniques
- Manage data replication tools and pipeline orchestration processes
- Ensure data quality, governance, consistency, and scalability across systems
Requirements
- Strong hands-on experience in SAP Data Engineering and data modeling
- Proven experience building and optimizing ETL/ELT pipelines
- Experience working with SAP S/4HANA and ECC data structures
- Strong SQL expertise with advanced transformation logic
- Experience with BigQuery and cloud-based data platforms
- Knowledge of data replication tools and orchestration frameworks
- Strong analytical and problem-solving skills with the ability to work independently
- Good to Have: Experience with GCP Data Engineering services
- Exposure to Google Cloud Cortex Framework
- Proficiency in Python for automation and data transformation
- Familiarity with Salesforce, Shopify, or Customer 360/CDP initiatives
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SAP Data Engineeringdata modelingETLELTSQLBigQuerydata replicationdata orchestrationPythondata transformation
Soft Skills
analytical skillsproblem-solving skillsindependence