As a Senior Data Engineer, you'll play a crucial role in enhancing data platforms and ensuring efficient data pipelines. This position is ideal for someone who thrives on optimizing systems and collaborating with various stakeholders.
In this role, you'll be responsible for managing and optimizing data pipelines and platforms. You'll work closely with upstream systems to understand how changes impact data flow and ensure that downstream consumers receive accurate and timely data. Your expertise in Databricks, AWS, and DBT will be essential in driving improvements in data platform maturity and engineering efficiency.
Your day-to-day tasks will involve identifying opportunities for automation and optimization within the data infrastructure. You'll collaborate with various stakeholders to ensure that data processes align with business needs and contribute to overall organizational goals. This role requires a proactive mindset, as you'll need to anticipate challenges and implement solutions before they affect data integrity.
The ideal candidate for this position is someone with a strong background in data engineering and a passion for improving data systems. You should be comfortable working in a fast-paced environment and have the ability to communicate effectively with both technical and non-technical teams. A focus on continuous improvement and a willingness to learn new technologies will also be beneficial.
Key requirements include proficiency in Databricks, AWS, and DBT, along with a solid understanding of data pipeline architecture. If you're looking to make a significant impact in a collaborative and innovative environment, this role could be a great fit for you.
You'll be taken to the original listing on CareerJet to apply.