As a Data Warehouse Engineer at Parvana, you'll design and maintain data architectures that support business needs. Your role will involve optimizing data pipelines and creating insightful dashboards for decision-making.
Innovative and data-driven
At Parvana, the Data Warehouse Engineer plays a crucial role in building and maintaining scalable data warehouse architectures. You will design systems using models like Star and Snowflake, ensuring that data is organized and accessible for analysis. Your day-to-day tasks will involve optimizing ETL and ELT pipelines to enhance data quality and performance.
You will also write and tune complex SQL queries and utilize Python for data manipulation. Collaborating with business teams is essential, as you will translate their data needs into technical solutions. Additionally, you will develop and maintain dashboards and reports using tools such as Power BI or Yellowfin, enabling data-led decision-making across the organization.
To succeed in this role, you should have a strong understanding of analytical and dimensional data warehouse modeling, as well as the fundamental design principles that guide data architecture. Creating and maintaining high-quality technical documentation, including data flow diagrams and specifications, will also be part of your responsibilities. Staying updated on emerging data technologies will help you continuously improve the data warehouse and its capabilities.
This role is ideal for someone who enjoys working with data and has a passion for building efficient systems. A relevant tertiary qualification in Computer Science, IT, or Data Science will be beneficial, along with a solid foundation in data structures and warehouse design.
You'll be taken to the original listing on PNet to apply.