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    Job · 21445089

    CHENNAI · FULLTIME

    Data Analytics

    U.S. Bancorp India

    U.S. Bancorp India

    Chennai · onsite · Posted 2d ago

    Sourced fromNaukri
    Undisclosed3–5 yrsfulltimeChennai

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    Section · 01

    About this role

    At U.S. Bancorp India, we're on a journey to do our best. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bancorp India gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

    Job Description

    Roles and Responsibilities:

    Design, develop, deploy, and support custom React applications within Domo.

  1. Build applications that interact with Domo datasets, Collections, APIs, Workflows, and other platform services.
  2. Develop and maintain scalable Magic ETL dataflows supporting analytical and operational applications.
  3. Design complex transformations, joins, aggregations, business rules, and data-quality processes.
  4. Optimize existing ETL pipelines for performance, scalability, reliability, and maintainability.
  5. Design and implement Domo Workflows to automate business processes, approvals, notifications, system actions, and data-driven decisions.
  6. Build and maintain solutions utilizing Domo Collections for application and workflow use cases.
  7. Work extensively with JSON, including nested objects, arrays, payload construction, parsing, transformations, and API request/response structures.
  8. Develop and maintain REST API integrations between Domo and external enterprise systems.
  9. Develop advanced SQL queries supporting data transformation, analysis, validation, and troubleshooting.
  10. Create and maintain Domo datasets, DataFlows, Beast Modes, cards, dashboards, alerts, and related platform assets.
  11. Troubleshoot complex issues across React applications, APIs, Workflows, Collections, ETL pipelines, and datasets.
  12. Perform root-cause analysis of production issues and implement sustainable solutions rather than temporary fixes.
  13. Participate in code reviews, testing, deployment, release management, and production support.
  14. Establish and follow development standards for reusable code, naming conventions, documentation, testing, and deployment.
  15. Translate complex business requirements into scalable technical solutions.
  16. Partner with business analysts, data engineers, developers, product teams, and business stakeholders.
  17. Provide technical guidance and mentorship to less-experienced Domo analysts when appropriate.
  18. Domo Platform (Preferred)

    Magic ETL

  19. Workflows
  20. Collections
  21. Datasets
  22. DataFlows
  23. Beast Modes
  24. Cards
  25. Dashboards
  26. APIs
  27. Custom Applications
  28. Application Development

    React

  29. JavaScript/TypeScript
  30. HTML
  31. CSS
  32. JSON
  33. Data & Integration

    SQL

  34. REST APIs
  35. JSON Payloads
  36. ETL/ELT
  37. Data Modeling
  38. Data Quality
  39. System Integration
  40. Engineering Practices

    Git

  41. Source Control
  42. Testing
  43. Debugging
  44. Deployment
  45. Documentation
  46. Production Support
  47. Skills:

  48. 3-5 years of hands-on experience in any analytical tools.
  49. Extensive experience developing and deploying React applications within the Domo ecosystem.
  50. Strong proficiency with React and JavaScript/TypeScript.
  51. Advanced hands-on experience with Domo Magic ETL.
  52. Hands-on experience designing and implementing Domo Workflows.
  53. Strong experience developing solutions utilizing Domo Collections.
  54. Advanced understanding of JSON, including nested structures, arrays, serialization, parsing, and payload manipulation.
  55. Experience developing and consuming REST APIs.
  56. Strong SQL skills, including Complex joins, CTEs, Window functions, Aggregations, Conditional logic, Data transformations and Query optimization
  57. Strong understanding of ETL/ELT architecture, data modeling, and data-quality principles.
  58. Experience working with Domo datasets, DataFlows, Beast Modes, cards, dashboards, and platform services.
  59. Strong debugging and troubleshooting capabilities across front-end applications, APIs, workflows, and data pipelines.
  60. Experience supporting enterprise applications and data solutions in production environments.
  61. Preferred Qualifications

  62. Experience using Domo as an application development and operational platform, not exclusively as a visualization tool.
  63. Experience with Domo App Studio and custom application development.
  64. Experience with Git or similar source-control platforms.
  65. Experience working within formal development, testing, and production deployment processes.
  66. Experience integrating Domo with enterprise APIs, cloud databases, and third-party platforms.
  67. Familiarity with CI/CD and modern software-development practices.
  68. Experience with Snowflake or comparable cloud data platforms.
  69. Experience supporting large-scale or high-volume datasets.
  70. Experience within financial services, banking, healthcare, insurance, or another regulated enterprise environment.
  71. Job Description:

  72. Design, develop, deploy, and support custom React applications within Domo.
  73. Build applications that interact with Domo datasets, Collections, APIs, Workflows, and other platform services.
  74. Develop and maintain scalable Magic ETL dataflows supporting analytical and operational applications.
  75. Design complex transformations, joins, aggregations, business rules, and data-quality processes.
  76. Optimize existing ETL pipelines for performance, scalability, reliability, and maintainability.
  77. Design and implement Domo Workflows to automate business processes, approvals, notifications, system actions, and data-driven decisions.
  78. Build and maintain solutions utilizing Domo Collections for application and workflow use cases.
  79. Work extensively with JSON, including nested objects, arrays, payload construction, parsing, transformations, and API request/response structures.
  80. Develop and maintain REST API integrations between Domo and external enterprise systems.
  81. Develop advanced SQL queries supporting data transformation, analysis, validation, and troubleshooting.
  82. Create and maintain Domo datasets, DataFlows, Beast Modes, cards, dashboards, alerts, and related platform assets.
  83. Troubleshoot complex issues across React applications, APIs, Workflows, Collections, ETL pipelines, and datasets.
  84. Perform root-cause analysis of production issues and implement sustainable solutions rather than temporary fixes.
  85. Participate in code reviews, testing, deployment, release management, and production support.
  86. Establish and follow development standards for reusable code, naming conventions, documentation, testing, and deployment.
  87. Translate complex business requirements into scalable technical solutions.
  88. Partner with business analysts, data engineers, developers, product teams, and business stakeholders.
  89. Provide technical guidance and mentorship to less-experienced Domo analysts when appropriate.
  90. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. - https://careers.usbank.com/global/en/disability-accommodations-for-applicants.

    Posting may be closed earlier due to high volume of applicants.

    This is an U.S. Bancorp India posting. U.S. Bancorp India is a part of the U.S. Bank family.

    Sourced from naukri

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    Section · 02

    Skills

    data qualitycloud databasesapisadvanced sqldata transformationBusiness RequirementsconstructionBankingCloud DataData AnalyticsdebuggingCSScloudArchitectureApplication DevelopmentData ModelingData Pipeline

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