Google Big Query/Google Cloud Storage - Data Architects

Cardinal Integrated Technologies, Inc.

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Google Cloud platform, specifically with Big Query
  • Proficient in cloud storage and cloud platform management
  • Ability to translate customer business needs into actionable requirements
  • Skilled in delivering technical artifacts, including scripts in Java or Python and dataflow components
  • Experience interfacing with senior business unit members and product owners
  • Familiarity with SDLC methodologies focused on mission-critical applications
  • Proficient with Agile tools like JIRA and Confluence

Responsibilities

  • Leverage Google Cloud Big Query for data processing and analytics
  • Manage and optimize cloud storage solutions
  • Translate business requirements into technical specifications
  • Develop and deliver technical scripts and dataflow components
  • Collaborate with senior stakeholders and product owners for requirement gathering
  • Implement SDLC practices for testing and validation of business applications
  • Conduct data mining and applied analytics to derive insights from large datasets

Benefits

  • Opportunity to work with cutting-edge cloud technologies
  • Collaborative work environment with senior business leaders
  • Access to ongoing professional development and skill enhancement
  • Flexibility in remote work arrangements
  • Engagement in innovative data projects that influence decision making
Full Job Description
Job Description for Google Big Query/Google Cloud Storage - Data Architects

Have experience in Google Cloud platform (especially Big Query)

Experience with Cloud storage

Experience in working with cloud platforms
Skills :

Experience in interpreting customer business needs and translate those needs into requirements

Experience in delivering artifacts such as scripts (Java or Python), dataflow components

Experience in dealing with senior member of the business units (within the organization) and product owners

Experience in SDLC with emphasis on specifying, building, and testing mission critical business applications

Working knowledge of JIRA, Confluence and other Agile work management tools
Strong analytical and prioritization skills.

Derive insights from data mining, modeling, and applied analytics on top of large data sets .

Must possess broad data domain knowledge and in-depth hands on experience with enterprise data architecture, data governance, data management, data modeling, business intelligence, advanced analytics, data warehousing and integration technologies.

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