Senior Data Engineer

Cvent is a leading meetings, events and hospitality technology provider with more than 4,700 employees and nearly 21,000 customers worldwide. Founded in 1999, the company delivers a comprehensive event marketing and management platform for event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship --a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. We foster an environment that promotes agility, which means we don't have the luxury to wait for perfection. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared. Disclaimer: Beware of Recruitment Scams - Legitimate Cvent recruiting communications will always come from an official [HIDDEN TEXT] email. We never request any payments or ask for sensitive personal or financial information via chat or social media platforms. For more information, please visit: https://www.cvent.com/en/notice-recruitment-fraud About Product Goldcast is an AI-powered B2B Video Content Platform that enables marketers to put video content at the heart of the customer journey. We're building a browser-based, frameaccurate video editor that rivals desktop apps, using cutting-edge tech like WebCodecs, WASM, and Remotion. Role Overview As a senior data engineer you will specialise in building data pipelines from multiple data sources, creating and managing data models, building analytics for end user consumption. Work on optimising data ingestion, transformation, and storage workflows to meet scalability, reliability, and latency requirements. We are looking for an individual with strong data engineering skillset who can lead the design, development, and optimization of enterprise-scale data pipelines and architectures to drive data-driven decision-making. Deep hands-on expertise in Snowflake implementation and a strong background in data modeling and use of ETL tools What You'll Do Design Data Pipeline : Design and implement high-performance data pipelines using ETL processes, batch/streaming frameworks Deep knowledge of snowflake and familiarity with tools like dbt for data transformation Work with AWS tech stack using kinesis, firehose, s3, lambda, spark, airflow, flink ETL Tool Develop and maintain ETL/ELT pipelines integrating events heartbeat data, video heartbeat data, backend events data and chats data Experience working with ingestion tools like segment, fivetran, hightouch, estuary and more Analytics Data Modeling in Thoughtspot, explo Knowledge of snowflake and star schema Working with materialised views Engineering Excellence And Cross-org Impact Lead at least one engineering-wide initiative and continuously improve processes within and across teams. Partnering with multiple stakeholders across various vertical have good understanding of internals and fundamental concepts of databases including indexing, snowflake optimisation and cost managemen