Data Engineer
2 weeks ago
About Us :
The ParentPay Group is a leading software product company and the UK's largest education technology business. Our mission is to bring next-generation innovation to positively impact the lives of millions of parents, teachers, and students every day in over 49 countries.
We use cutting-edge cloud-based technology to streamline school processes, including secure web and mobile apps that enable secure online payments for school items such as meals, trips, clubs, and uniform, improve parental engagement, simplify meal management, and collect and manage a database of student information and core school operations through our flagship product SIMS.
We are excited to announce a fantastic opportunity for a Data Engineer to join our Pune office, a vibrant tech hub for those looking to boost their careers in software product development.
In this role, you will work with a bright young team who will help you fast-track your career ahead with international exposure and ways of working based on agile development best practices from globally renowned technology consultancies.
As a Data Engineer, you will be responsible for creating and managing data pipelines, developing data warehousing solutions, and ensuring the efficient organization and accessibility of data for analytical purposes.
Key Responsibilities :
- Data Pipeline Development : Design, implement, and manage ETL (Extract, Transform, Load) processes using Azure Data Factory to integrate data from various sources into our data warehouse.
- Data Warehousing : Build and maintain data warehouse solutions, ensuring high performance and scalability.
- Star Schema Design : Develop and implement star schema models to optimize data retrieval and reporting processes.- SQL Development : Write complex SQL queries for data manipulation, extraction, and analysis. Optimize queries for performance and scalability.
- Data Integration : Integrate data from disparate sources, ensuring data quality and consistency across the Performance Tuning : Monitor and optimize data pipelines and data warehouse performance to ensure efficient data processing.
- Collaboration : Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and provide solutions that meet their requirements.
- Documentation : Maintain clear and comprehensive documentation for data pipelines, data models, and data processes.
- Troubleshooting : Identify and resolve issues related to data processing, data quality, and data integration.
- Experience : 4+ years of professional experience as a Data Engineer or in a similar role.
- SQL : Proficiency in SQL for data manipulation, querying, and reporting.
- Azure Data Factory : Hands-on experience with Azure Data Factory for building and managing data pipelines.
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