Tableau Data Engineer

Description :

Required Experience & Skills :

- 5+ years of experience in implementation, data management, or system integration.

- Experience with Snowflake or similar cloud data warehouse platforms.

- Experience with architecting or working with ELT technologies (such as DBT) and data architectures.

- Strong SQL skills and experience with data transformation tools.

- Experience with ETL processes and data validation techniques.

- Understanding of HR data structures and relationships.

- Excellent analytical and problem-solving abilities.

- Knowledge of programming languages (Python etc.).

- Experience with data visualization tools (Tableau).

- Understanding of API integration patterns and technologies.

- Experience with agile development methodologies.

Key Responsibilities :

- Lead and support data implementation, integration, and migration projects across multiple business systems.

- Work with cloud data warehouse platforms such as Snowflake to design, develop, and optimize data pipelines.

- Architect and manage ELT workflows using tools such as DBT, ensuring scalability, performance, and reliability.

- Write complex SQL queries and perform advanced data transformations across large datasets.

- Implement and maintain ETL processes, including data extraction, cleansing, validation, and loading.

- Collaborate with HR and technical teams to understand HR data structures, relationships, and reporting requirements.

- Integrate data from various systems using API-based integration patterns and modern technologies.

- Develop dashboards and reports using Tableau or similar data visualization tools.

- Troubleshoot data issues, conduct root-cause analysis, and implement long-term solutions.

- Work within an agile development environment, participating in sprints, reviews, and planning sessions.

Required Experience & Skills :

- 5+ years of experience in data implementation, data management, or system integration.

- Hands-on experience with Snowflake or similar cloud data warehouse platforms (Redshift, BigQuery, Azure Synapse).

- Strong experience with ELT architectures and tools such as DBT.

- Expertise in SQL, data modeling, and transformation frameworks.

- Experience with ETL tools, data quality checks, and validation techniques.

- Good understanding of HR data models, hierarchies, and relationships.