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SeniorFull-timeAWSAzureKubernetesDockerMySQLAgileGit
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to develop scalable data pipelines and work with distributed systems. This role requires expertise in big data technologies and cloud platforms.
Key Responsibilities
- →Develop scalable data pipelines utilizing Spark (PySpark / Scala)
- →Work with the Hadoop ecosystem
- →Design and implement distributed, scalable, concurrent, and low-latency systems
- →Utilize database technologies like MySQL and NoSQL data warehouses such as HBase
- →Work with Docker and Kubernetes for containerization
- →Leverage cloud platforms such as AWS or Azure
Requirements
- ✓Proficiency in Spark, PySpark, and Scala
- ✓Experience with the Hadoop ecosystem
- ✓Hands-on experience with distributed systems and database technologies
- ✓Experience with Docker and Kubernetes
- ✓Experience with cloud platforms like AWS or Azure
- ✓Knowledge of GenAI and agentic frameworks is advantageous
- ✓Experience in Agile and Test-Driven Development environments
- ✓Familiarity with Continuous Integration and Automated Test tools
