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.
- Robust 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.

📌 Tiger Analytics - Senior Data Engineer - SQL/ETL (India)
🏢 Tiger Analytics
📍 India