As a Senior Data Engineer, you'll play a crucial role in building and maintaining data pipelines. This position is ideal for someone with strong technical skills and a passion for data architecture.
In this role, you'll be responsible for designing and implementing robust data pipelines that ensure the availability and quality of data across the organization. You'll work with technologies like Databricks and AWS to create scalable solutions that can handle both batch and near-real-time processing. Your expertise will help maintain the integrity and security of data, making it accessible for analysis and decision-making.
A key part of your job will involve mentoring junior engineers, guiding them in best practices for data architecture and pipeline development. You'll also oversee the maintenance of existing data systems, ensuring they are efficient and reliable. This role suits someone who enjoys problem-solving and has a strong background in data engineering.
Key responsibilities include: • Designing and building data pipelines using Databricks and AWS • Ensuring data quality and security throughout the pipeline lifecycle • Mentoring and supporting junior team members • Collaborating with other teams to understand data needs and deliver solutions
To succeed in this position, you should have at least five years of experience in data engineering, with a solid understanding of data architecture principles. Familiarity with DBT and experience in real-time data processing will be advantageous. If you're passionate about data and enjoy working in a collaborative environment, this role could be a great fit for you.
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