As a Senior Data Engineer at Parvana, you'll play a crucial role in designing and maintaining data pipelines. This position is ideal for someone with a solid background in data engineering and a passion for ensuring data quality.
At Parvana, the Senior Data Engineer is responsible for designing, maintaining, and documenting data pipelines and products. This role ensures that data quality is upheld and aligns with operational sources. You will oversee database performance, security, and access, while also monitoring usage and archiving historical data. Identifying design improvements is a key part of your responsibilities, ensuring that the data infrastructure remains robust and efficient.
Your day-to-day work will involve providing statistical and reporting support, as well as supporting data lakehouse operations. You will be tasked with delivering key projects, including data migrations, on time. This role suits someone who enjoys working with data and has a strong focus on data engineering principles, including data lifecycle management, which encompasses sourcing, cleansing, transformation, and analysis.
To be successful in this role, you should have 3 to 5 years of experience in a similar IT position. A strong understanding of data engineering, warehousing principles, and various programming languages such as Python and Java is essential. Familiarity with tools like PowerBI, SAP Data Services, and cloud services like Azure or AWS will be advantageous. Your technical skills in SQL, ETL/ELT processes, and data modeling will be crucial for the success of your projects.
Overall, this position is ideal for a seasoned data engineer who thrives in a collaborative environment and is eager to contribute to the continuous improvement of data processes and systems.
You'll be taken to the original listing on PNet to apply.