As a Data Engineer at Parvana, you'll work closely with various teams to create and maintain data solutions that meet business needs. This role is perfect for someone with a solid background in data engineering and a passion for transforming complex data into actionable insights.
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 ensuring that data solutions align with financial reporting and business objectives.
In this role, you will collaborate with financial planning and analysis teams, data engineers, and developers to analyze complex customer data and determine integration needs. Your day-to-day responsibilities will include developing and testing scalable data integration and transformation pipelines using technologies like PySpark, SparkSQL, and Python. You will also automate and maintain data validation and quality checks to ensure the integrity of the data.
The ideal candidate for this position has at least five years of experience in data engineering and is comfortable working with modern data formats and platforms such as Parquet, Delta Lake, and S3/Blob Storage. You will partner with the product team to ensure accurate customer data reflection and provide valuable feedback based on your data insights. This role is well-suited for someone who enjoys working in a collaborative environment and is eager to leverage their technical skills to drive business success.
If you are passionate about data and have a strong background in data engineering, this position offers a great opportunity to contribute to innovative projects while working with a talented team.
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