As a Senior Data Scientist at Parvana, you'll design and implement data models and pipelines that drive business insights. This role is perfect for someone with extensive experience in data engineering and a passion for mentoring others.
At Parvana, the team is dedicated to leveraging data to drive business decisions and enhance operational efficiency. As a Senior Data Scientist, you will play a crucial role in designing scalable data models that cater to both operational and analytical needs. Your work will involve building and maintaining ETL/ELT pipelines that integrate data from various sources, ensuring that the data is reliable and accessible for analysis.
In this role, you will collaborate closely with business intelligence teams and other stakeholders to understand their data requirements. You will also have the opportunity to mentor junior team members on best practices in data engineering, fostering a culture of learning and growth within the team.
To succeed in this position, you should have at least 6 years of hands-on experience in data engineering and complex query development. Proficiency in tools like Azure Data Factory, along with programming skills in Python, Java, or Scala, is essential. Familiarity with cloud data services such as Azure, AWS, or GCP will also be beneficial.
This role is ideal for someone who thrives in a collaborative environment and is passionate about using data to solve complex problems. If you have a strong background in data engineering and enjoy mentoring others, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.