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A leading company in SaaS solutions is seeking a Senior Data Engineer to lead an agile team. The role involves building enterprise-grade software systems using Databricks, Python, and SQL, while mentoring team members and driving innovation in data engineering.
3 weeks ago Be among the first 25 applicants
Altrata is a fast paced, growing leader in SaaS solutions designed to help organizations find and connect with the people who will have the biggest impact on their business. Comprised of five unique products, Altrata is on a journey to build a singular tech solution to deliver data and intelligence on wealthy and influential people around the world.
Job Purpose
The Senior Data Engineer will run an agile team, building and working on enterprise grade software systems using Databricks, Python, Spark, R and SQL. The Senior Data Engineer will provide input on best practices, and development standards, and mentoring of other team members.
As a Senior Data Engineer, you are expected to work with architects to develop clean decoupled solutions; create automated tests in support of continuous delivery; adopt a culture of continuous improvement and delivery; and adhere to our standards. Furthermore, the senior data engineer will be responsible for providing significant input for building a greenfield modern data platform via cutting-edge technologies. The successful candidate should have experience developing big data solutions, with a deep understanding of developing complex enterprise data ETL and ML pipelines and projections.
They should have a healthy drive to keep on top of the ever-updating data engineering curve, however, practice pragmatism with the tools where necessary. They must have a clear understanding Databricks design patterns to build data systems at scale. The candidate should be able to identify, diagnose, and design optimized data systems. They should have experience collaborating with architects, data scientists and product teams, whilst also having a passion for machine learning and AI to produce elegant solutions for cutting edge data workflows.
The successful candidate should have experience working on big data solutions, with an understanding of developing complex enterprise data ETL pipelines and projections.
Principal Accountabilities
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