Data Engineer with Java/SQL/Springboot Offline

Industry: Banking and Finance

Location: Remote (Poland)

Technical Requirements:

- Proficiency in DevOps tools and engineering practices, including micro-services, CI/CD pipeline, and test automation.

- Strong understanding of the software development lifecycle.

- Proficiency in Java, Spring Boot, and SQL.

- Good understanding of relational databases (Oracle, SQL Server).

- Familiarity with cloud technologies and patterns (Azure preferred).

- Experience in building and optimizing 'big data' data pipelines, architectures, and datasets.

- Skills in performance tuning and quality improvement.

- Strong understanding of algorithms and data structures.

- Excellent interpersonal and communication skills.

- Enthusiasm for learning and innovation.

- Interest in understanding business operations.

- Familiarity with Agile software delivery methodology.

- Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.

- Experience in collaborating within large global teams across various project lifecycle stages.

Desirable:

- Experience with Microsoft Azure.

- Proficiency in Python or scripting languages.

- Knowledge of infrastructure-as-code using tools such as Terraform, ARM, Bicep, or CloudFormation.

- Familiarity with Azure CLI, ADO pipelines, Terraform Enterprise, etc.

- Experience with Spark/Databricks batch and streaming solutions.

- Understanding of Azure Data Factory.

- Knowledge of Kafka, Event Hubs, and ADLS Gen2 on Microsoft Azure.

- Experience with containers and container orchestration using Docker, Kubernetes, and Helm.

- Familiarity with Microsoft SQL Server BI stack (SSAS/SSIS).