• Exploring bleeding-edge technologies, tools and frameworks to experiment with and build better products for existing customers. 

• Evaluating areas of improvement with technical products built and implementing ideas which will make us better than yesterday.

• Collaborating with developers to work on technical designs and develop code, configurations, and scripts to enhance the development lifecycle and integrate systems.

• Collaborate proactively and respectfully with our team and customers

• Develop tools and integrations to support other developers in building products.

• Take solutions from concept to production by writing code, configurations, and scripts.

• Improve existing platforms or implement new features for any of our products.

• Create comprehensive documentation for implemented solutions, including implementation details and usage instructions.

• Promote our culture of focus, flow, and joy to gain developers' support for our solution

Qualifications

• Build Data pipelines required for optimal extraction, anonymization, and transformation of data from a wide variety of data sources using SQL, NoSQL and AWS ‘big data’ technologies.
  ○ Streaming
  ○ Batch

• Work with stakeholders including the Product Owners, Developers and Data scientists to assist with data-related technical issues and support their data infrastructure needs.

• Ensure that data is secure and separated following corporate compliance and data governance policies.

• Take ownership of existing ETL scripts, maintain and rewrite them in modern data
  transformation tools whenever needed. 

• Being an automation advocate for data transformation, cleaning and reporting tools.

• You are proficient in developing software from idea to production

• You can write automated test suites for your preferred language

• You have frontend development experience with frameworks such as React.js/Angular

• You have backend development experience building and integrating with REST APIs and Databases using languages such as Java Spring, JavaScript on Node.js, Flask on Python.

• You have experience with cloud-native technologies, such as Cloud Composer, Dataflow, Dataproc, BigQuery, GKE, Cloud run, Docker, Kubernetes, and Terraform.

• You have used cloud platforms such as Google Cloud/AWS for application hosting.

• You have used and understand CI/CD best practices with tools such as GitHub Actions, GCP Cloud Build.

• You have experience with YAML and JSON for configuration.

• You are up-to-date on the latest trends in AI Technology