Project Role : Quality Engineer
Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and workplace configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Purpose of the Job - The Data & Analytics Data Engineer plays a pivotal role in advancing the organization's data strategy and delivering robust analytical solutions across critical business functions. This position is responsible for designing, developing, and deploying scalable data pipelines and infrastructure. Working within a cross-functional team,
the Data Engineer will identify analytical opportunities, contribute to solution architecture, and ensure the secure and compliant handling of confidential data.
Responsibilities:
Retrieve, integrate, and prepare diverse datasets for analysis by the Data & Analytics team and the broader business user community.
Collaborate as a key technical interface with local IT landscape teams and various business stakeholders to understand data requirements and deliver effective solutions
Task Description / Performance Expectations -
Key Responsibilities: The Data & Analytics Data Engineer is responsible for designing, developing, and deploying robust data products and solutions within a Microsoft Azure-based data ecosystem. This role involves:
Data Product Development: Leading the retrieval, migration, integration, and construction of data products, applying industry-proven disciplines in Data Acquisition, Integration, Curation, and Distribu