As a Data Engineer, you'll play a crucial role in managing data pipelines and ensuring data flows smoothly across systems. This position is ideal for those who enjoy coding and have a strong understanding of data architecture.
Innovative and tech-focused
In this role, you'll be responsible for designing, building, and maintaining data pipelines that are essential for data processing and analytics. You'll work extensively with Azure Data Factory and Databricks to create efficient ETL/ELT processes that ensure data is readily available for analysis and reporting. Your expertise in SQL will be vital for data modeling and transformation tasks, allowing you to create robust reporting layers.
A significant part of your day-to-day work will involve writing code to integrate various data sources and building APIs that facilitate data exchange. You'll collaborate with other team members to ensure that the data architecture aligns with the company's goals and supports its analytical needs. This role suits individuals who are detail-oriented and have a passion for working with data.
Key responsibilities include: • Designing and implementing ETL/ELT data pipelines • Writing SQL for data transformation and reporting • Integrating APIs and ensuring data flow between systems • Collaborating with teams to optimize data architecture
To excel in this position, you should have practical experience with Azure Data Factory and Databricks, as well as a solid understanding of SQL. Familiarity with Azure DevOps is a plus, but not mandatory. If you are looking to make an impact in a tech-focused environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.