Job Title

Data EngineerAbout RevXRevX helps app businesses acquire and reengage users via programmatic to retain, monetize, and accelerate revenue. We're all about taking your app businesses to a new growth level. We rely on data science, innovative technology, and AI, and a skilled team, to create and deliver seamless ad experiences to delight your app users. That’s why RevX is the ideal partner for app marketers that demand trustworthy insights, a hands-on team, and a commitment to growth. We help you build sound mobile strategies, combining programmatic UA, app re engagement, and performance branding to drive real and verifiable results so you can scale your business: with real users, high retention, and incremental revenue.About the RoleWe are seeking a forward-thinkingData Engineerwho can bridge the gap between traditional data pipelines and modernGenerative AI (GenAI) -enabled analytics tools. You'll design intelligent internal analytics systems using SQL, automation platforms liken8n , BI tools likeLooker , and GenAI interfaces such asChatGPT ,Gemini , orLangChain . This is a unique opportunity to innovate at the intersection ofdata engineering ,AI , andproduct analytics .Key ResponsibilitiesDesign, build, and maintainanalytics workflows/toolsleveragingGenAI platforms(e.g., ChatGPT, Gemini etc.) and automation tools (e.g.,n8n , Looker etc.). Collaborate with product, marketing, and engineering teams to identify and deliver data-driven insights. Use SQL to query data from data warehouses (BigQuery, Redshift, Snowflake, etc.) and transform it for analysis or reporting. Buildautomated reportingandinsight generation systemsusing visual dashboards and GenAI-based interfaces. Evaluate GenAI tools and APIs for applicability in data analytics workflows. Explore use cases where GenAI can assist innatural language querying ,automated summarization , andexplanatory analytics . Work closely with business teams to enableself-service analyticsvia intuitive GenAI-powered interfaces. Design and maintain robust data pipelinesto ensure timely and accurate ingestion, transformation, and availability of data across systems. Implement best practices indata modeling, testing, and monitoringto ensure data quality and reliability in analytics workflows.Requirements3+ years of experience in data analysis or a related field. Strong proficiency inSQLwith the ability to work across large datasets. Hands-on experience building data tools/workflows using any of the following:n8n ,Looker/LookML ,ChatGPT API ,Gemini ,LangChain , or similar. Familiarity withGenAI concepts , LLMs, prompt engineering, and their practical application in data querying and summarization. Excellent problem-solving skills and a mindset to automate and optimize wherever possible. Strong communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders.Nice to HavePrior experience inAdTech(ad operations, performance marketing, attribution, audience insights, etc.). Experience withPython ,Jupyter Notebooks , or scripting for data manipulation. Familiarity with cloud platforms likeGoogle Cloud Platform (GCP)orAWS . Knowledge of data visualization tools likeTableau ,Power BI , orLookeretc.Why Join Us?Work on the cutting edge ofGenAI and data analytics innovation . Contribute to building scalable analytics tools that empower entire teams. Be part of a fast-moving, experimentation-driven culture where your ideas matter.For more information visit