As a Data Warehouse Engineer at Parvana, you'll design and maintain robust data architectures that support business intelligence. This role is ideal for someone who enjoys working with data and has a knack for problem-solving.
At Parvana, the Data Warehouse Engineer plays a crucial role in designing and maintaining scalable data warehouse architectures. You'll be responsible for optimizing ETL and ELT pipelines to ensure high data quality, which is essential for informed decision-making within the company. Your day-to-day tasks will involve writing and tuning complex SQL queries and using Python for data manipulation and advanced analytics.
Collaboration is key in this role, as you'll work closely with various teams to translate business data needs into technical structures. Additionally, you'll develop and maintain dashboards and reports using tools like Power BI or Yellowfin, enabling stakeholders to make data-led decisions. High-quality technical documentation is also part of your responsibilities, including creating data flow diagrams and specifications.
To excel in this position, a strong understanding of analytical and dimensional data warehouse modeling, design, and architecture is necessary. Familiarity with emerging data technologies will help you continuously improve the data warehouse. A relevant tertiary qualification in fields like Computer Science, IT, or Data Science would be beneficial, but practical experience and skills are equally important.
This role suits individuals who are detail-oriented and enjoy working with data to solve complex problems. If you have a passion for data and a desire to contribute to a data-driven culture, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.