Administer and enhance the enterprise data platform, including Data Warehouses (DWH) and Data Lakes, ensuring optimal performance and scalability
Job Summary
Administer and enhance the enterprise data platform, including Data Warehouses (DWH) and Data Lakes, ensuring optimal performance and scalability.
Design, implement, and maintain robust and reliable data pipeline architecture to meet business needs, utilizing SQL and big data technologies such as Hadoop, Spark, and Kafka.
Supported by a culture that fosters flexibility, growth, and technological excellence, our engineers are empowered to make a meaningful impact every day.
Matching Summary
Administer and enhance the enterprise data platform, including Data Warehouses (DWH) and Data Lakes, ensuring optimal performance and scalability.
Skills & Requirements
Must-have
Data Warehouses (DWH) and Data Lakes
Terraform
SQL and big data technologies
Hadoop, Spark, and Kafka
DevOps practices for CICD
Integrate and manage data from multiple sources
Backend data solutions for analysts
Nice-to-have
Automated data pipeline and workflow management
Microsoft cloud services
Stream-processing systems
Kubernetes for container orchestration
Power BI for data visualization
Agile mindset
Industry trends and advancements
Key Requirements
6 years industry experience
Bachelor's degree in Computer Science, Engineering, or related field
Solid knowledge of CS fundamentals
Strong experience with Terraform
Experience with big data tools
Experience with relational SQL and NoSQL databases