Join a dynamic team as a Senior Data Engineer, where you'll design and maintain data pipelines that drive analytics and machine learning. This role is perfect for someone with extensive experience in large-scale data environments who thrives on collaboration and innovation.
Innovative and collaborative, with a focus on data-driven solutions.
DevologyX is looking for a Senior Data Engineer to enhance their data capabilities. In this role, you'll be responsible for designing, building, and maintaining scalable data pipelines that support advanced analytics and machine learning initiatives. Your expertise will help ensure that data is available, reliable, and of high quality for various business needs.
On a daily basis, you will work on developing robust ETL pipelines and optimizing data architectures, including data warehouses and lakes. Collaboration is key, as you'll engage with business stakeholders to understand their data needs and ensure compliance with governance and security standards. Additionally, you'll automate workflows and implement monitoring solutions to streamline data processes.
This position is ideal for someone with over five years of experience in data engineering, particularly in large-scale organizations. You should have a strong background in ETL tools and data pipeline frameworks. If you enjoy working in a collaborative environment and have a passion for data quality, this role could be a great fit for you.
Key responsibilities include: • Designing and developing ETL pipelines for large-scale data processing. • Building and optimizing data architectures such as data warehouses and lakes. • Collaborating with stakeholders to ensure data availability and reliability. • Ensuring data quality and compliance with governance standards. • Automating workflows and implementing monitoring solutions for data processes.
You'll be taken to the original listing on PNet to apply.