Experience: 5–8 years of dedicated hands-on experience in Data Engineering, Data Architecture, and Enterprise Data Modeling
Data Modeling Mastery: Proven expertise in dimensional modeling, Data Vault, ER diagrams, and multi-source relationship mapping
Heterogeneous Databases: Solid expertise in working with SAP Core, PostgreSQL, and MySQL
Governance & Lineage: Experience with modern data cataloging and lineage tools (e.g., OpenMetadata, Apache Atlas, Microsoft Purview, Collibra, or dbt docs)
Performance Tuning: Expert knowledge in SQL optimization, indexing strategies, memory tuning, and query troubleshooting
Cloud & Modern Data Stack: Hands-on experience with cloud ecosystems (Azure/AWS) and pipeline orchestration tools (Spark, Databricks, dbt, Airflow, etc.)
Strong verbal and professional communication skills to deal with architects & data engineers across globe
Proven ability to extract, index, and manage metadata for large enterprise document repositories (In-house DMS, Azure Blob Storage, S3)
Exposure to OCR/document metadata workflows and semi-structured cataloging
Prior experience delivering high-impact solutions for global clients and internal products