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Senior Data Engineer at Zealogics.com. Location Information: USA. Job Title: . Senior Data Engineer (Data Modeling & Multi-Source Integration) . Experience:.  5 – 8 Years . Position Overview. Zealogics Technologies is seeking an experienced and analytical . Senior Data Engineer (5–8 years).  to architect, model, and optimize the foundational data infrastructure for a brand-new strategic project. This role requires deep expertise in establishing relationships across heterogeneous data sources (. SAP Core, PostgreSQL, MySQL. ), building comprehensive data catalogs/lineage, and fine-tuning high-performance data pipelines. . Key Responsibilities. Data Modeling & Relationship Mapping:.  Architect conceptual, logical, and physical data models for a new enterprise solution. Identify, map, and resolve complex entity relationships across . SAP Core, PostgreSQL, MySQL. , and legacy systems.. Data Lineage & Cataloging:.  Implement enterprise data cataloging, metadata tracking, and end-to-end data lineage to ensure visibility, governance, and auditability across all data layers.. Performance Optimization & Tuning:.  Analyze execution plans, optimize complex SQL queries, fine-tune database configurations, indexing, and partitioning to ensure high throughput and minimal latency.. Document & Unstructured Metadata Management (Advantageous):.  Design and maintain robust metadata indexing mechanisms for large-scale document management systems (e.g., . In-house DMS, Azure Blob Storage. ).. Pipeline Engineering:.  Build reliable ETL/ELT data pipelines integrating structured, semi-structured, and enterprise data repositories into a unified system.. Cross-Functional Collaboration:.  Partner with enterprise architects, product owners, and global client technical teams to translate business requirements into scalable data architectures.. Required Qualifications. 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.. Preferred / Nice-to-Have Skills. 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.