Senior Data Engineer

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Zealogics Inc

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Zealogics Inc. is a global technology company headquartered in New Jersey, specializing in IT consulting, engineering, and systems implementation. Founded in 2012, Zealogics provides a wide array of services, including software and hardware engineering, digital transformation, cloud solutions, artificial intelligence, and low-code development. The company aims to empower businesses across various industries such as semiconductor, automotive, finance, healthcare, telecom, and retail, with innovative and scalable solutions that enhance efficiency, agility, and customer experience. Zealogics partners with clients to understand their unique needs, delivering tailored solutions to achieve their business goals.

📋 Description

• 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 • Implement enterprise data cataloging, metadata tracking, and end-to-end data lineage • Analyze execution plans and optimize SQL queries, database configurations, indexing, and partitioning • Design and maintain metadata indexing mechanisms for document management systems • Build ETL/ELT data pipelines integrating structured, semi-structured, and enterprise data repositories • Partner with enterprise architects, product owners, and global client technical teams to translate business requirements into scalable data architectures

🎯 Requirements

• 5–8 years of dedicated hands-on experience in Data Engineering, Data Architecture, and Enterprise Data Modeling • Expertise in dimensional modeling, Data Vault, ER diagrams, and multi-source relationship mapping • Solid expertise with SAP Core, PostgreSQL, and MySQL • Experience with data cataloging and lineage tools such as OpenMetadata, Apache Atlas, Microsoft Purview, Collibra, or dbt docs • Expert knowledge in SQL optimization, indexing strategies, memory tuning, and query troubleshooting • Hands-on experience with Azure or AWS and pipeline orchestration tools such as Spark, Databricks, dbt, or Airflow • Strong verbal and professional communication skills • Preferred: metadata extraction, indexing, and management for large enterprise document repositories • Preferred: exposure to OCR/document metadata workflows and semi-structured cataloging • Preferred: prior experience delivering solutions for global clients and internal products