Big Data Engineer

Job Description : 
We are looking for a highly skilled Engineer with a solid experience of building Bigdata, GCP Cloud based real time data pipelines and REST APIs with Java frameworks.
 
The Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization’s data-driven initiatives.
 
This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders.
 
This role will be focused on the delivery of innovative solutions to satisfy the needs of our business.
As an agile team we work closely with our business partners to understand what they require, and we strive to continuously improve as a team.
 
Technical Skills
1. Core Data Engineering Skills Proficiency in using GCP’s big data tools like: BigQuery: For data warehousing and SQL analytics .Dataproc: For running Spark and Hadoop clusters.GCP Dataflow: For stream and batch data processing.(High level Idea)GCP Pub/Sub: For real-time messaging and event ingestion.(High level Idea)Expertise in building automated, scalable, and reliable pipelines using custom Python/Scala solutions orCloud Data Functions.
2. Programming and ScriptingStrong coding skills inSQL, and Java.Familiarity withAPIs and SDKsfor GCP services to build custom data solutions.
3. Cloud InfrastructureUnderstanding of GCP services such asCloud Storage,Compute Engine, andCloud Functions.Familiarity withKubernetes (GKE)and containerization for deploying data pipelines. (Optional but Good to have)
4. DevOps and CI/CDExperience setting up CI/CD pipelines usingCloud Build,GitHub Actions, or other tools.Monitoring and logging tools likeCloud MonitoringandCloud Loggingfor production workflows.
5. Backend Development (Spring Boot & Java)-> Design and develop RESTful APIs and microservices using Spring Boot.-> Implement business logic, security, authentication (JWT/OAuth), and database operations.-> Work with relational databases (MySQL, PostgreSQL, MongoDB, Cloud SQL).-> Optimize backend performance, scalability, and maintainability.-> Implement unit testing and integration testing.
Soft Skills
1. Innovation and Problem-SolvingAbility to think creatively and design innovative solutions for complex data challenges.
Experience in prototyping and experimenting with cutting-edge GCP tools or third-party integrations.Strong analytical mindset to transform raw data into actionable insights.
2. CollaborationTeamwork: Ability to collaborate effectively with data analysts, and business stakeholders.Communication: Strong verbal and written communication skills to explain technical concepts to non-technical audiences.
3. Adaptability and Continuous LearningOpen to exploring new GCP features and rapidly adapting to changes in cloud technology.