Join Data Monkey as a Data Engineer and play a key role in building and maintaining data solutions for financial services. You'll work on designing scalable ETL processes and ensuring data quality across systems.
Professional and focused on delivering high-quality data solutions.
Data Monkey is looking for a skilled Data Engineer to enhance their Financial Services consulting practice. In this role, you will design, develop, and maintain scalable ETL and data integration solutions. Your work will ensure that data is efficiently delivered and integrated across various enterprise environments.
On a daily basis, you will build and maintain data pipelines that support integration, transformation, and reporting needs. You'll collaborate closely with team members to gather and translate data requirements into technical specifications, ensuring that all data integrations are high-quality and reliable.
This position is ideal for someone with a solid background in data engineering, particularly with experience in Python and ETL processes. You should be comfortable working in a fast-paced environment and have a strong focus on delivering high-quality data solutions. If you are passionate about data and enjoy solving complex problems, this role could be a great fit for you.
Key responsibilities include: • Designing and developing ETL processes • Building robust data pipelines • Ensuring data quality and performance across systems • Collaborating with other teams to integrate data platforms
To succeed in this role, you should have at least 3 years of experience as a Data Engineer, with a strong understanding of data integration and pipeline development. Your ability to work collaboratively and communicate effectively will be essential in delivering successful data solutions.
You'll be taken to the original listing on PNet to apply.