As a Data Engineer, you'll play a crucial role in managing and transforming data. Your work will involve designing and building data pipelines to ensure data flows smoothly and is accessible for analysis.
In this role as a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines that are essential for data processing and analysis. Your primary tools will include Azure Data Factory and Databricks, which will help you create efficient ETL and ELT processes. You'll also be expected to write SQL for data modeling and transformation, ensuring that data is accurately represented for reporting purposes.
Your day-to-day tasks will involve coding and integrating APIs, which will enhance the functionality of the data systems you work on. Collaboration with other team members is key, as you'll need to ensure that the data infrastructure aligns with the overall goals of the organization. This role is ideal for someone who enjoys working with data and has a strong technical background.
Key responsibilities include: • Designing and building ETL/ELT data pipelines • Writing SQL for data transformation and reporting • Integrating APIs to enhance data workflows • Collaborating with team members to optimize data processes
To succeed 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, as it will help streamline your development processes. If you are passionate about data engineering and enjoy solving complex data challenges, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.