Analytical Engineer

Job Title: Analytical Engineer Experience: 5+ Years Location: Chennai Employment Type: Full-Time About the Role Qeagle is looking for an experienced Analytical Engineer to transform business requirements into structured, reliable, and analytics-ready datasets. The ideal candidate should possess strong expertise in data analysis, data modelling, advanced SQL, data profiling, data governance, and validation within enterprise-scale environments. Key Responsibilities Gather and analyse business requirements for reporting and analytics. Design logical and physical data models. Develop analytics-ready datasets using Data Vault 2.0, dimensional modelling, star schema, and snowflake schema. Create advanced SQL queries for data transformation, validation, profiling, and reconciliation. Perform data quality assessments and data profiling activities. Define business rules, metrics, calculations, and data definitions. Collaborate with Data Engineers and business stakeholders to deliver trusted data products. Support data governance, metadata management, and data lineage initiatives. Validate source-to-target mappings and transformation logic. Document data models, business rules, and technical specifications. Mandatory Skills 5+ years of experience in Data Analysis. 5+ years of experience in Data Modelling. 5+ years of experience in Data Governance. Strong expertise in Data Vault 2.0. Hands-on experience with Dimensional Modelling (Star & Snowflake Schema). Advanced SQL skills. Experience with Data Quality, Metadata, and Data Lineage concepts. Strong stakeholder management and business requirement gathering skills. Experience working with Enterprise Data Warehouses, Data Lakes, or Lakehouse platforms. Technical Skills Microsoft Azure Data Services. Azure Databricks. Azure Data Factory. Azure Synapse Analytics. Delta Lake / Lakehouse Architecture. Power BI. ERwin, Sparx EA, PowerDesigner, or similar Data Modelling tools. Microsoft Purview, Collibra, Informatica, or other Data Governance tools. Nice to Have Banking / Financial Services domain experience. Risk, Audit, Governance, or Compliance exposure. Agile project experience. Strong technical documentation skills. Qualification Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Finance, or related discipline. .