Big Data Engineer

About the role

Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.

What you'll do

• Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka
• Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs
• Ensure high data quality and integrity by implementing robust data validation and testing processes
• Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments
• Monitor and troubleshoot data processing workflows to ensure timely data delivery

What you need

• 3–6 years in data science & ai
• Python
• Hadoop
• ETL
• AWS
• Spark
• Kafka
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Machine learning
• Docker
• Kubernetes
• BigQuery
• GCP
• Java