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About the role
Provider of lifestyle content focused on incremental personal improvements and changes. The company delivers information related to lifestyle adjustments. Design, build, and maintain scalable ETL/ELT pipelines Develop and optimize data models and data warehouses Ensure data quality, integrity, and reliability across systems Integrate data from multiple sources including APIs, databases, and third-party tools Optimize database performance and improve query efficiency Collaborate with analytics and product teams to define data requirements Implement monitoring and alerting for data pipelines Maintain documentation for data architecture and workflows Support reporting, dashboards, and business intelligence too We are looking for a Data Engineer with 2+ years of hands-on experience in building and maintaining data pipelines and infrastructure. In this role, you will design, develop, and optimize scalable data systems that power analytics, reporting, and business intelligence. You will collaborate closely with product, engineering, and business teams to ensure data is accurate, reliable, and readily available for decision-making. This is an opportunity to work on modern data stacks and contribute to building data infrastructure from the ground up in a fast-paced environment. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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