Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Build Tool
Valuable to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary
As a Data Engineer specializing in dbt (Data Build Tool) and Fivetran, you will design, develop, and maintain contemporary data transformation and integration solutions that enable productive data processing, analytics, and enterprise reporting. The role requires strong expertise in building scalable data pipelines, implementing data transformation frameworks, and leveraging automated data ingestion tools to support enterprise data platforms.
The engineer will collaborate closely with data analysts, data architects, and business stakeholders to deliver reliable,



high-quality datasets aligned with business and reporting requirements. Continuous optimization of data workflows, performance tuning, data quality improvements, and adherence to data engineering best practices are key responsibilities of this role.

Roles & Responsibilities:
Act as a Subject Matter Expert (SME) and collaborate with teams to ensure effective execution and delivery.
Own technical decisions related to data engineering solutions, pipeline architecture, and implementation approaches.
Collaborate with multiple teams and contribute to key decisions around data integration, transformation, and platform enhancements.
Provide solutions to complex data engineering challenges across immediate and cross-functional teams.
Design, develop, and maintain data transformation workflows using dbt.
Develop, configure, and manage data ingestion pipelines using Fivetran for automated data movement from multiple sources.
Implement best practices

📌 Data Engineer Hyderabad (India)
🏢 Accenture
📍 India