Data Engineer (SQL, Python, Database, Cloud)

About TSCThe Stakeholder Company (TSC) is a global SaaS company that helps organizations make sense of a complex world through stakeholder intelligence and media monitoring. Our platform, Genie, delivers real-time insights and engagement workflows by mapping relationships, surfacing emerging issues, and tracking stakeholder movements across sectors and geographies. We support Fortune 500 companies, multilaterals, and NGOs across 100+ countries and 20+ industries—empowering them to engage smarter, respond faster, and act with confidence. About the RoleData is at the heart of everything we do at TSC. We're looking for a talented Data Engineer to join our growing data team and help accelerate our data integration, automation, and infrastructure initiatives.In this role, you’ll build and maintain scalable data pipelines that support our platform’s real-time insights and stakeholder intelligence capabilities. You will collaborate closely with the Head of Data, Backend Engineering, and Data Science teams to create a robust, efficient, and reliable data infrastructure. Your work will directly reduce manual data processing, improve integration scalability, and support the delivery of data-intensive features for our customers. Key Responsibilities Design, build, and optimize ETL/ELT pipelines to ensure performance, scalability, and reliability Implement and manage data integration solutions for external sources, including news APIs, social platforms, and third-party datasets Collaborate with backend engineers to ensure seamless integration between data systems and application services Maintain detailed documentation for data models, workflows, and architecture Ensure data quality, consistency, and integrity across all systems Establish monitoring and alerting systems to ensure data pipeline health and reliability Design and deliver curated datasets and BI dashboards that empower internal teams with actionable insights Implement data governance practices to ensure accurate tagging, eliminate duplicates, and maintain high data quality across all systems Hiring Process: The result of each interview round will be provided within 1 - 2 weeks. 1st round - Online HR interview: 30 - 45 minutes 2nd round - Online Technical interview: 1.5 hours Final round - In-person Culture-fit interview: 1 hour Background checks