Key Responsibilities
Analyze complex datasets to understand data structures, relationships, and quality issues.
Design and maintain conceptual, logical, and physical data models.
Define source-to-target mappings and transformation logic for data pipelines.
Develop implementation-ready specifications and pseudo-code for engineering teams.
Perform data reconciliation, variance analysis, and root cause analysis.
Support testing, validation, and production go-live activities.
Collaborate with Data Engineers, Architects, and business stakeholders.
Ensure data quality, governance, and compliance with enterprise standards.
Contribute to enterprise data architecture and integration initiatives.

Required Skills




10+ years of experience in Data Architecture, Data Modeling, or Data Analysis.
Solid expertise in conceptual, logical, and physical data modeling.
Advanced SQL skills for profiling, validation, and complex queries.
Experience with source-to-target mapping and transformation logic.
Robust understanding of Data Warehousing and ETL/ELT concepts.
Hands-on experience in PySpark and Spark SQL.
Excellent analytical, debugging, and problem-solving skills.
Experience working in complex enterprise data settings.

📌 Data Architectdata Modeler Bengaluru
🏢 Tekskills
📍 Bengaluru