Software Engineering SMTS/LMTS - Application Developer (CRM Analytics/Einstein Analytics)
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Job CategorySoftware Engineering
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Salesforce is on a journey to redefine the landscape of analytics by enabling the use of data in daily decisions and interactions through innovative experiences that help every person in an organization - not just data analysts - benefit from insights. This new era of analytics will be defined by the delivery of personalized, contextual, and automatically generated insights delivered in the flow of work.
We will enable Salesforce and our partners to build intelligent analytics applications that provide people with insights in the flow of their work, removing the barriers between insights and actions and making all applications intelligent. These analytic capabilities and applications will enable our customers to provide personalized 1:1 experiences for their end customers.
You will be building AI-infused analytical applications across many horizontal industries/ business processes across sales, service, commerce, marketing, supply chain, and more. You will work with PMs, UX, engineers and customers to translate business use-cases into immersive analytic experiences while laying a sustainable foundation that helps us scale to hundreds of high quality smart analytical apps. You will partner with PMs, UX, Engineering Managers, Scrum Masters, and architects to lead design conversations and inform our collective roadmap through detailed technical specs, spikes, hack-days and more.
You are an experienced candidate with hands-on experience in data visualization, application development, and machine-learning applications. We're expecting the candidate with a self-starter attitude, strong technical skills and effective communication skills who can work independently in designing, building, and launching these analytic apps. These apps will provide descriptive, diagnostic, prescriptive and predictive insights fully immersed in the users business process.
Design, Develop, test, and package high quality AI-infused reusable analytical components and applications
Active contributor of a scrum team building ETL pipelines, data visualizations, apps packaging, UI components and tooling
Responsible for building high performance dashboards and pipelines
Collaborate with product managers, UX designers, and peer engineers for detailed technical specs and spikes
Participate and promote architectural initiatives that simplify app engineering, reuse, and content maintenance
Triage and fix bugs, customer investigations
Explore, experiment and implement new Analytics platform capabilities within the Intelligent apps
Define, collect and report metrics that measure progress and performance of the build and test infrastructure
Lead initiatives to boost tooling, automation and integration speed focusing on developer productivity, release velocity and product quality
Lead the technical design and delivery for one or more scrum teams you will be part of
BE/Btech or MS/Mtech in Computer Science or related discipline is required.
5 to 12 years of experience in building analytical applications, data visualizations, data pipelines, and AI/ML applications
Thorough understanding of the fundamentals of analytics and familiarity with AI methodologies.
Experience with traditional BI and discovery tools (Looker, Power BI, Tableau, Qlik, MicroStrategy, Quicksight, etc.)
Experience building CRMA Applications (f.k.a Einstein Analytics) for enterprise customers
Experience with query languages (e.g. SQL, PL/SQL,Pig, etc.) and understanding of data management technologies
Experience working with large datasets including data modeling, logical schema design, ETL/ELT, and developing data pipelines for structured, semi-structured and unstructured data
Experience in development, configuration, implementation and support of Salesforce based applications based on Lightning Components, Lightning Design System, Lightning Flows, and leveraging the Salesforce Platform.
Experience with Salesforce's technical stack - SOQL, APIs, Custom Objects, APEX etc.
Excellent interpersonal and communication skills
Self-starter with an ability to learn quickly in a dynamic environment
Nice to Have Qualifications
Deep understanding of object oriented programming and experience with at least one object oriented programming language (Java, Python)
Tableau or CRMA Certification is a plus
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