Java + GCP Developer
6 days ago
Location: Bangalore \ Hyderabad \ Chennai
Job Type: Hybrid Model
Shift timing: 12:00 PM -9:00 PM
- 6+ years experience in data engineering. Including performance optimization of large OLP
- Expertise in Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
- Solid knowledge of relational/NoSQL databases
- Experience with data streaming technology(i.e. Kafka, Spark-streaming)
- Experience with Infrastructure as Code (IaC) frameworks(Terraform)
- Knowledge of Java microservices; Spring Boot; Java Rest; Spring
- Strong architecture knowledge of cloud infrastructure
- Excellent communication and problem-solving skills.
- Skilled at conveying complex ideas to both business and technical teams
- Designing, building, operationalizing the Wealth Data Hub (WDH) using Google Cloud Platform (GCP) data services such as DataProc, Dataflow, CloudSQL, BigQuery, CloudSpanner in combination with third parties such as Spark, Apache Beam/ composer, DBT, Cloud PubSub, Confluent Kafka, Cloud storage Cloud Functions & Github
- Designing and implementing data ingestion patterns that will support batch, streaming and API interface on both the Ingress and Egress.
- Guide a team of data engineers and work hands on in developing framework and custom code using best practices that will meet the demanding performance requirements
- Take a lead in designing and building production data pipelines from data ingestion to consumption using GCP services, Java, Python, Scala, BigQuery, DBT, SQL etc.
- Experience using Cloud Dataflow using Java/Python for deploying streaming jobs in GCP as well as batch jobs using text/JSON files and writing them to BigQuery
- Building and managing data pipelines with a deep understanding of workflow orchestration, task scheduling and dependency management
- Ability to do proof of technology using GCP technologies and work with data architects, solution architects to achieve the desired results and performance.
- Provide end-to-end technical guidance and expertise on how to effectively use Google Cloud to build solutions; creatively applying cloud infrastructure and platform services to help solve business problems; and communicating these approaches to different business users
- Provide guidance on Implementing application logging, notification, jobs monitoring and performance monitoring
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