Senior Data Engineer
2 months ago
Job Summary
We are seeking a highly skilled Senior Data Engineer to join our team at Resourcetree Global Services. The ideal candidate will have expertise in Snowflake and DBT, with a strong understanding of data warehousing concepts and modern data architectures.
Key Responsibilities
- Translate functional specifications and change requests into technical specifications.
- Develop efficient code with unit testing and code documentation.
- Ensure accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem-solving.
- Set up the development environment and configure development tools.
- Communicate project status with all project stakeholders.
- Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
- Contribute to the automation of modules wherever required.
- Be proficient in written, verbal, and presentation communication.
- Coordinate with the UAT team.
Requirements
- Proficiency in basic and advanced SQL programming concepts.
- Good knowledge and understanding of Data warehouse concepts.
- Knowledgeable in Shell/PowerShell scripting.
- Knowledgeable in relational databases, non-relational databases, data streams, and file stores.
- Knowledgeable in performance tuning and optimization.
- Experience in Data Profiling and Data validation.
- Experience in requirements gathering and documentation processes and performing unit testing.
- Understanding and implementing QA and various testing processes in the project.
- Knowledge in any BI tools will be an added advantage.
- Sound aptitude, outstanding logical reasoning, and analytical skills.
- Willingness to learn and take initiatives.
- Ability to adapt to a fast-paced Agile environment.
Additional Requirements
- Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Snowflake.
- Implement and manage data models in DBT, guaranteeing accurate data transformation and alignment with business needs.
- Utilize DBT to convert raw, unstructured data into structured datasets, facilitating efficient analysis and reporting.
- Write and optimize SQL queries within DBT to enhance data transformation processes and overall performance.
- Establish best practices in DBT processes to improve performance, scalability, and reliability.
- Demonstrate expertise in SQL and possess a strong understanding of Data Warehouse concepts and Modern Data Architectures.
- Exhibit familiarity with cloud-based platforms.
- Migrate legacy transformation code into modular DBT data models.
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