Application Developer-Google Cloud FullStack

Responsibilities

If you are creating JD for an Associate program role:replace word "entry" in the first sentence below with word Associate. For example -> "As an entry level Software Developer..." will be changed to "As an Associate Software Developer..." As an entry level Application Developer at IBM, you'll work with clients to co-create solutions to major real-world challenges by using best practice technologies, tools, techniques, and products to translate system requirements into the design and development of customized systems. In your role, you may be responsible for:Working across the entire system architecture to design, develop, and support high quality, scalable products and interfaces for our clients Collaborate with cross-functional teams to understand requirements and define technical specifications for generative AI projects Employing IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability Working with a variety of relational databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery) Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product --- IF APPLICABLE review & complete fields in >
Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

SQL authoring, query, and cost optimisation primarily on Big Query. Python as an object-oriented scripting language.

Data pipeline, data streaming and workflow management tools:Dataflow, Pub Sub, Hadoop, spark-streaming

Version control system:GIT & Preferable knowledge of Infrastructure as Code:Terraform.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions.

Preferred technical and professional experience

Experience building and optimising data pipelines, architectures and data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Working knowledge of message queuing, stream processing, and highly scalable data stores.

Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with experience in a Data Engineer role, who are also familiar with Google Cloud Platform