Data Engineer
Dive Into Python
Job Description
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Data Engineer with significant Python and PySpark experience to join an exceptional Agile engineering team and work on enterprise grade software systems using Databricks, Python, Spark, R and SQL.
Responsibilities
- We are seeking an experienced Data Engineer capable of providing input on best practices and development standards, and mentoring of other team members.
- The role will include working with architects, creating automated tests, instilling a culture of continuous improvement and setting standards for the team.
- You will be responsible for building a greenfield modern data platform using cutting-edge technologies, driving innovation, defining data platform stacks and contributing to the great company culture.
Requirements
- The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science R, Machine Learning and AI.
- Database experience with SQL and No-SQL – Aurora, MS SQL Server, MySQL is expected, as well as significant C#, Agile and Scrum exposure along with SOLID principles.
- Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key.
Application
Location: Remote
To apply for this position please send your RESUME to Nathan Warner at Noir Consulting.
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Expertise level
Key skills
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