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Google Cloud Platform Data Engineer

Nityo Infotech Corporation
Richardson, TX Full Time
POSTED ON 4/16/2025
AVAILABLE BEFORE 6/16/2025

Job Details

Job Role: Google Cloud Platform Data Engineer

Job Location: Richardson, TX

Job Type: Full Time

Job description:

Client is seeking a Google Cloud Platform Data Engineer with experience working in a Big Data ecosystem. The position will primarily be responsible interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:

  • Candidate must be located within the commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US.
  • Bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 7 years of experience in Information Technology.
  • Experience working with technologies like Google Cloud Platform with data engineering data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.
  • ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka

Preferred Qualifications:

  • Proven experience working in healthcare / Pharmacy Benefits Management domain
  • At least 2 experience with any traditional RDBMS (e.g., Teradata, Oracle, DB2).
  • Experience working with technologies like Google Cloud Platform with data engineering data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query.
  • ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka
  • Data analysis / Data mapping skills
  • CI / CD exposure
  • Strong communication and Analytical skills
  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
  • Experience and desire to work in a global delivery environment
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $110,000 - $120,000

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