Senior Data Engineer

Aviso is the AI compass that guides sales and go-to-market teams to close more deals, accelerate growth, and find their Revenue True North. Aviso AI delivers revenue intelligence, drives informed team-wide actions and course corrections, and gives precise guidance so sellers and teams don't get lost in the fog of CRM and augment themselves with predictive AI.

With demonstrated results across Fortune 500 companies and industry leaders such as Dell, Splunk, Nuance, Elastic, Github, and RingCentral, Aviso works at the frontier of predictive AI to help teams close more deals and drive more revenue. Aviso AI has generated 305 billion insights, analyzed $180B in pipeline, and helped customers win $100B in deals. Companies use Aviso to drive more revenue, achieve goals faster, and win in bold, new frontiers. By using Aviso's guided-selling tools instead of conventional CRM systems, sales teams close 20% more deals with 98%+ accuracy, and reduce spending on non-core CRM licenses by 30%.

We are looking for a skilled and motivated Data Engineer to join our growing team, focused on building fast, scalable, and reliable data platforms that power insights across the organization. If you enjoy working with large-scale data systems and solving complex challenges, this is the role for you.

What You’ll Do:

• Grow our analytics capabilities by building faster and more reliable tools to handle petabytes of data daily.
• Brainstorm and develop new platforms to serve data to users in all shapes and forms, with low latency and horizontal scalability.
• Troubleshoot and diagnose problems across the entire technical stack.
• Design and develop real-time event pipelines for data ingestion and real-time dashboards.
• Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake.
• Design and implement new components using emerging technologies in the Hadoop ecosystem, ensuring the successful execution of various projects.

Skills That Will Help You Succeed in This Role:

• Strong hands-on experience (4+ years) with

  Apache Spark

  , preferably

  PySpark

  .
• Excellent programming and debugging skills in

  Python

  .
• Experience with scripting languages such as

  Python

  ,

  Bash

  , etc.
• Solid experience with databases such as

  SQL

  ,

  MongoDB

  , etc.
• Good to have experience with

  AWS

  and cloud technologies such as

  Amazon S3

  .