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Jobs or company...

Google Cloud Platform Data Engineer

  • Full Time, onsite
  • AgreeYa Solutions
  • HybridTue and Thu every week, United States of America
Salary undisclosed

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Dice
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Google Cloud Platform Data Engineer / Cloud Data engineer

***Hybrid model - Tue and Thu every week - 5055 north point parkway , Alpharetta , GA 30022 only

Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (Google Cloud Platform) to design, build, and optimize scalable data solutions.

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting, developing, and maintaining data pipelines, optimizing data lifecycle processes, and creating insightful reports and dashboards that drive decision-making.

In this role, you will work closely with cross-functional teams to design robust data models and analytics solutions, utilizing your skills in BigQuery, Python, PySpark, LookML, SQL, Google Cloud Platform Data Studio, and Google Cloud Platform Data Flow.

Your ability to tell compelling data stories and translate complex data into actionable insights will be crucial to your success.

Key Responsibilities:

-Design, develop, and manage scalable data architectures and pipelines on Google Cloud Platform (Google Cloud Platform).

-Build and optimize complex data models and ETL processes using BigQuery, LookML, Python, PySpark, and SQL.

-Utilize Google Cloud Platform Data Flow and other Google Cloud Platform services to automate data processing and orchestration.

-Leverage Google Cloud Platform Looker Studio to create insightful dashboards and reports that provide business value.

-Collaborate with data scientists, analysts, and other stakeholders to gather requirements and translate them into technical solutions. -Conduct data analysis to identify trends, patterns, and insights to support data-driven decision-making.

-Apply advanced data modeling techniques to ensure data quality, integrity, and consistency.

-Manage and optimize the entire data lifecycle, from ingestion to archiving and deletion.

-Develop and implement best practices for data governance, security, and compliance on Google Cloud Platform.

-Communicate complex data findings to non-technical stakeholders through storytelling and data visualization.

Qualifications:

-Bachelor s or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field.

-8+ years of hands-on experience in data engineering, data modeling, and analytics on Google Cloud Platform (Google Cloud Platform).

-Proficient in BigQuery, LookML, Python, PySpark, and SQL for data processing and analysis.

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.
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