As a Data Warehouse Engineer at Parvana, you'll design and maintain data architectures that support business needs. This role is ideal for someone who enjoys working with data and has a strong technical background.
At Parvana, the Data Warehouse Engineer plays a crucial role in designing and implementing scalable data warehouse architectures. You will work with various data models, such as Star and Snowflake, and optimize ETL/ELT pipelines to ensure high data quality. 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 business stakeholders to translate their data needs into technical solutions. You will also be responsible for developing and maintaining dashboards and reports using tools like Power BI or Yellowfin, enabling data-led decision-making across the organization.
In addition to technical skills, you'll need to create and maintain high-quality documentation, including data flow diagrams and specifications. Staying updated on emerging data technologies will be essential for continuously improving the data warehouse and ensuring it meets the evolving needs of the business.
This position is best suited for individuals with a strong background in data engineering and a passion for working with data. A relevant tertiary qualification in fields such as Computer Science, IT, or Data Science will be beneficial. If you enjoy problem-solving and have a keen eye for detail, this role could be a great fit for you.
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