About Zamp:Zamp is on a mission to empower finance teams to move at the speed of thought.
We empower finance teams by automating manual, repetitive tasks using intelligent AI agents, enabling them to focus on strategic decisions. Our platform unifies fragmented systems, delivers real-time insights, and integrates cutting-edge innovations like blockchain and real-time payments to create a seamless, future-ready financial ecosystem.
Founded in 2022 by Amit Jain—an IIT Delhi and Stanford graduate with over 20 years of industry leadership, including roles as Managing Director at Sequoia Capital and Head of Asia Pacific at Uber—Zamp is backed by a stellar $22M seed round. Our investors include Sequoia Capital, Dara Khosrowshahi (CEO, Uber), Tony Xu (CEO, DoorDash), and other global visionaries.
Zamp is currently in the early stages of its development, providing engineers with a unique opportunity to build a new infrastructure platform from scratch. The company values first principles thinking, long-term vision, and short-term delivery. As an engineer, you will be instrumental in shaping the vision for the infrastructure platform and ensuring its scalability as the business grows. By partnering with businesses and leveraging your engineering expertise, you will contribute to Zamp’s mission of enabling success and growth.
What you need to be successful in the role :
- 3+ years of experience in data engineering, with a strong focus on large-scale data platforms and data products.
- Experience with big data technologies such as Hadoop, Spark, and Hive. Experience with natural language processing (NLP) tools and techniques.
- Experience working with large-scale data and implementing scalable data architectures. Good Understanding of Apache Spark ,Data Frames, data Sets, RDDs, Spark SQL/PySpark/Scala APIs with deep understanding of Performance optimisations.
- Understanding of Distributed Storage (HDFS/S3).Strong analytical/quantitative skills and comfortable working with very large sets of data.
- Strong communication and interpersonal skills, with the ability to work effectively with a diverse range of stakeholders
- Experience with integration of data across multiple data sources.
- Good understanding of distributed computing principles. Good to have: Experience with Message Queues (e.g., Apache Kafka) Experience with MPP systems (e.g., Redshift/Snowflake/BigQuery).
You are likely to succeed in this role if you have experience in:
- Collaborate with Engineers, analysts, Product Managers to understand their data needs and develop data solutions that meet those needs.
- Design, build, and maintain scalable data platforms and pipelines to support the needs of the business.
- Ensure data quality and accuracy by implementing data validation and testing process.
- Participate in code reviews and provide feedback to improve code quality and adherence to best practices .
- Work closely with DevOps to ensure that data solutions are deployed and operated effectively.
- Stay up-to-date with emerging technologies and best practices in data engineering and recommend improvements to the data platform
- Develop and maintain a data engineering roadmap, ensuring that the team is aligned with the company's overall goals and objectives .
