DevologyX is looking for a Senior Data Engineer to enhance their data capabilities. This role is perfect for someone with extensive experience in building and maintaining data systems. You'll work closely with various teams to ensure data is reliable and accessible.
As a Senior Data Engineer at DevologyX, you will be instrumental in shaping the data landscape for the organization. Your primary responsibility will be to design, build, and maintain scalable data pipelines that support advanced analytics and business intelligence initiatives. This role is ideal for someone who thrives in a fast-paced environment and has a passion for data architecture and engineering.
In your day-to-day work, you will develop and maintain robust ETL pipelines for large-scale data processing. You will also optimize data architectures, including data warehouses and data lakes, ensuring they meet the needs of various stakeholders. Collaboration is key, as you will work closely with business teams to guarantee data availability and reliability.
Key responsibilities include: • Designing and implementing data pipelines and architectures • Ensuring data quality, integrity, and compliance with security standards • Automating workflows and implementing monitoring solutions for data processes • Collaborating with cross-functional teams to align on data needs
To succeed in this role, you should have a strong background in data engineering, with at least five years of experience in large-scale organizations. Proficiency in ETL tools and frameworks like Apache Airflow, Kafka, and Spark is essential. If you are a proactive problem-solver who enjoys working with data, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.