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 pipelines and architectures.
As a Senior Data Engineer at DevologyX, you will be instrumental in designing and maintaining scalable data pipelines that support various analytics and machine learning initiatives. Your role will involve working closely with both technical teams and business stakeholders to ensure that data is accessible, reliable, and of high quality. This position is ideal for someone who thrives in a collaborative environment and is passionate about data engineering.
In your day-to-day work, you will be responsible for: • Designing, developing, and maintaining ETL pipelines for large-scale data processing. • Building and optimizing data architectures, including data warehouses and data lakes. • Ensuring data quality and compliance with governance and security standards. • Automating workflows and implementing monitoring solutions for data processes.
To succeed in this role, you should have at least 5 years of experience as a Data Engineer, particularly in large-scale organizations. Familiarity with ETL tools and data pipeline frameworks, such as Apache Airflow, Kafka, and Spark, will be crucial. Your ability to collaborate effectively with various stakeholders will also be key to ensuring the success of data initiatives within the company.
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