DBT/Snowflake Developer - Python/SQL

Primary Skills : DBT, Snowflake Secondary Skills : ADF, Databricks, Python, Airflow, Fivetran, Glue Role Responsibility : - Translate functional specifications and change requests into technical specifications - Translate business requirement document, functional specification, and technical specification to related coding - Develop efficient code with unit testing and code documentation - Ensuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solving - Setting up the development environment and configuration of the development tools - Communicate with all the project stakeholders on the project status - Manage, monitor, and ensure the security and privacy of data to satisfy business needs Contribute to the automation of modules, wherever required : - To be proficient in written, verbal and presentation communication (English) - Co-ordinating with the UAT team Role Requirement : - Proficient in basic and advanced SQL programming concept (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, nonrelational 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 process 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 fast-paced Agile environment Additional Requirement : - Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Snowflake, ensure the effective transformation and load data from diverse sources into data warehouse or data lake.

- Implement and manage data models in DBT, guarantee accurate data transformation and alignment with business needs.

- Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting.

- Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance.

- Establish best DBT processes to improve performance, scalability, and reliability.

- Expertise in SQL and a strong understanding of Data Warehouse concepts and Modern Data Architectures.

- Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP). - Migrate legacy transformation code into modular DBT data models.

(ref:hirist.tech)