Join a dynamic team at Parvana as a Data Engineer, where you'll work on innovative data solutions across various industries. This role is perfect for someone with a strong background in data engineering and a passion for transforming complex data into actionable insights.
At Parvana, the Data Engineer plays a crucial role in developing and supporting software and data solutions tailored to various industries. The team focuses on big data engineering and bespoke software development, ensuring that clients receive high-quality, scalable solutions. As a Data Engineer, you will analyze complex customer data to identify integration needs and develop efficient data pipelines.
Your day-to-day responsibilities will include: • Developing and testing scalable data integration and transformation pipelines using technologies like PySpark, SparkSQL, and Python. • Automating and maintaining data validation and quality checks to ensure the integrity of the data. • Collaborating with the product team to ensure that customer data is accurately reflected and providing insights based on your data analysis.
This role is ideal for someone with at least five years of experience in data engineering, who is comfortable working in an Agile/Scrum environment. Strong communication skills are essential, as you will need to partner with various teams to deliver effective solutions. Familiarity with modern data formats and platforms such as Parquet, Delta Lake, S3, and Databricks will be beneficial.
If you are passionate about data and enjoy working in a collaborative environment, this position at Parvana could be the perfect fit for you.
You'll be taken to the original listing on PNet to apply.