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Texas Research International

Austin / Global

Cloud Data Engineer

Job Description

Cloud Data EngineerWe are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure, and deep exposure with tools such as Snowflake and/or Databricks.We are a company with multiple Gold Competencies based in Austin, TX, and we specialize in Microsoft Cloud consulting and licensing.You will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure).Requirements· Bachelor's Degree· More than two years of data engineering and architecture experience· More than two years of experience cloud analytics (GCP, AWS or Azure)· More than two years of experience with Snowflake and/or Databricks· Active Secret or above government security clearance is required· Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the futureBonus Qualifications:· 2+ years of prior professional services or federal consulting experience· Creativity and innovation - desire to learn and apply new technologies, products, and libraries.· Strong written and verbal communication skills· Strong organizational skillsIf you're interested, contact:Clarissa P. Tolentino | Senior RecruiterTRI Solutions, Inc. | [email protected]: 512-400-2552TRI Solutions, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions to hire without regard to race, color, religion, sex, age, disability, or veteran status. We offer a culture of teamwork, accountability, respect, progression, and support.

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