As a Data Engineer at Parvana, you'll work on developing and maintaining data solutions that support various industries. This role is perfect for someone with a solid background in data engineering and a passion for transforming complex data into actionable insights.
Innovative and collaborative, with a strong focus on data-driven solutions.
Parvana is a company that specializes in developing and supporting software and data solutions across various industries. They focus on big data engineering and bespoke software development, offering both cloud-based and hosted solutions. As a Data Engineer, you will play a crucial role in aligning data solutions with financial reporting and business objectives.
In your day-to-day work, you will collaborate with financial planning analysts, other data engineers, and developers to analyze complex customer data. Your main responsibilities will include developing and testing scalable data integration and transformation pipelines using tools like PySpark, SparkSQL, and Python. You will also automate and maintain data validation and quality checks to ensure the integrity of the data being processed.
This role suits someone with at least five years of experience in data engineering, who is comfortable working with modern data formats and platforms such as Parquet, Delta Lake, and Databricks. You will partner with the product team to ensure that customer data is accurately reflected and to provide valuable feedback based on data insights.
Overall, this position is ideal for a mid-level data engineer who is eager to contribute to innovative data solutions and enjoys working in a collaborative environment.
You'll be taken to the original listing on PNet to apply.