Data Engineer

Job Description : Below are the roles and responsibilities the colleague has to perform on a day-to-day basis

Snowflake on Azure Expertise: Develop and optimize data pipelines using Snowflake on Azure, ensuring data consistency and performance.

Data Modelling: Implement data models, including Data Vault 2.0 methodologies (Dbt - Data Build Tool / Dvb - Data Vault Builder), to ensure scalable and efficient data architectures.

Data Product Development: Design and build data products such as SQL data pipelines, Tableau/Power BI dashboards, and analytical reports to meet business requirements.

Scripting & Automation: Use scripting languages like Terraform and Python to automate data workflows and infrastructure management.

Data Mesh Architecture: Apply knowledge of Data Mesh architecture to help design and implement decentralized data products.

Performance Tuning: Ensure the efficiency and performance of data products, optimizing data pipelines and models for scalability.

Collaboration with Business Teams: Work independently with business teams to understand their data needs, translating requirements into actionable data products.