Data Engineer

3 weeks ago

Chennai, India ResourceTree Global Services Full time

Role : Senior Data Engineer(Snowflake & DBT)


Primary Skills : Skills : : 4 to 6 Years


Location : Responsibilities :

- Translate functional specifications and change requests into technical specifications.


- Translate business requirement documents, functional specifications, and technical specifications into related coding.


- 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 (English).


- Coordinate with the UAT team.


Role Requirements :

- Proficiency in basic and advanced SQL programming concepts (Procedures, Analytical functions, etc.).


- Good knowledge and understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions, etc.).


- 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 Requirement :


- Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Snowflake, ensuring effective transformation and loading of data from diverse sources into the data warehouse or data lake.


- 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 (e.g., AWS, Azure, GCP).


- Migrate legacy transformation code into modular DBT data models.




(ref:hirist.tech)

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