Senior Data Engineer - DBT & Snowflake DB (4-5 yrs)

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 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, 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.