Tiger Analytics - Senior Data Engineer - SQL/ETL

About the role : As a Senior Data Engineer, you will work to solve organizational data management problems to enable a data-driven organization. You will seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling lead to define, design, and deliver actionable insights. What you will do : - Engage with clients to understand business requirements and translate them into data models. - Create and maintain Logical Data Models (LDM) and Physical Data Models (PDM) using best practices. - Contribute to Data Modeling accelerators and publish Data Dictionaries. - Create and maintain Source to Target Data Mapping documents including entities, attributes, relationships, and business rules. - Maintain data models and capture models from existing databases. - Use Data Modelling tools to create appropriate models and maintain versions using version control. - Contribute to building data warehouses and data marts on Cloud while performing data profiling and quality analysis. - Collaborate with Data Engineers to design and develop data extraction and integration code modules. - Partner with data engineers to strategize ingestion logic and consumption patterns. Expertise and Qualifications : - 6+ years of experience in the Data space. - Strong SQL skills. - Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server). - Experience working in OLAP & OLTP database models (Dimensional models). - Good understanding of Star schema, Snowflake schema, and Data Vault Modelling. - Experience with ETL tools, Data Governance, and Data quality. - Ability to analyze data and comfort with Agile methodology. - Understanding of cloud services (Azure, AWS & GCP) is preferred.