Gorilla - Energy data applications
Staff Software Engineer (Data Platform) - 3-6 months Contract
We are seeking an experienced and highly skilled Software Engineer to join our team and take ownership of maintaining and improving our Data Platform built on AWS cloud. As a key member of our engineering team, you will be responsible for designing, building, and deploying services on top of the platform that enable other teams to easily access and leverage data for their applications and projects.
Key Responsibilities:Contribute to maintaining, enhancing, and shaping the next generation of our data platform built on AWS.
Design and implement new services and features on the platform to meet the needs of our clients and internal teams.
Collaborate with data engineers and other stakeholders to ensure data availability, reliability, and scalability.
Build infrastructure and automation to support deployment, monitoring, and maintenance of the platform (using DevOps best practices).
Write clean, maintainable, and efficient code to improve platform functionality and performance.
Take ownership of full-service lifecycle: design, development, deployment, and support.
Ensure security and high availability of the data platform and services built upon it.
Troubleshoot and resolve issues, and continuously work to improve system efficiency and reliability.
Strong background in software engineering, with expertise in cloud computing and DevOps practices.
Hands-on experience building, deploying, and maintaining services in AWS (e.g., EC2, Lambda, S3, RDS, Redshift, and other AWS services).
Proficiency in programming languages such as Python (preferred), Java, or Go.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Experience building scalable, secure, and high-performance data services.
Familiarity with CI/CD pipelines and automated testing practices.
Ability to manage complex systems and troubleshoot production issues effectively.
Experience working in an agile, cross-functional team environment.
Experience with big data tools such as Apache Spark, Kafka, or other data processing frameworks or platforms like Databricks, Snowflake.
Knowledge of data governance, data security practices, and best practices for managing large data sets that use Iceberg, Delta Lake.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
If you're a proactive, innovative, and results-driven engineer passionate about building powerful data-driven systems and services, we'd love to hear from you!
