Join a dynamic team at Parvana, where you'll work on innovative data solutions across 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
Parvana is a company that specializes in developing and supporting software and data solutions tailored to various industries. They focus on big data engineering and bespoke software development, offering both cloud-based and hosted solutions. The team is dedicated to delivering high-quality data services that meet the unique needs of their clients.
As a Data Engineer, your primary responsibility will be to analyze complex customer data to determine integration needs. You'll develop and test scalable data integration and transformation pipelines using tools like PySpark, SparkSQL, and Python. Additionally, you'll automate and maintain data validation and quality checks to ensure the integrity of the data being processed.
Collaboration is key in this role, as you'll partner with the product team to ensure accurate customer data reflection and provide valuable feedback based on data insights. A solid understanding of modern data formats and platforms, such as Parquet, Delta Lake, S3/Blob Storage, and Databricks, will be essential to your success.
This position is ideal for someone with at least five years of experience in data engineering, who thrives in a fast-paced environment and is comfortable working within Agile and Scrum frameworks. Strong communication skills and a commitment to data quality will help you excel in this role.
You'll be taken to the original listing on PNet to apply.