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GCP Data Engineer -Contract - at Remote, Remote, USA
Email: [email protected]
Job Title: GCP Data Engineers

Sunnyvale CA / Hoboken New jersey

Responsibilities:
Data Pipeline Development: Design, build, and maintain data pipelines using GCP tools like Dataflow, Dataproc, and Pub/Sub.
Data Modeling: Develop and optimize data models for analytical and operational use.
ETL Processes: Create ETL processes to extract, transform, and load data from various sources into GCP.
Data Warehousing: Implement and manage data warehousing solutions using BigQuery.
Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and ensure data availability.
Data Quality: Monitor data quality and implement validation and testing procedures to ensure accuracy and integrity.
Performance Optimization: Optimize queries and data storage for performance and cost efficiency.
Documentation: Maintain documentation of data architecture, pipelines, and processes.
Qualifications:
Education: Bachelors degree in Computer Science, Information Technology, or related field.
Experience: Proven experience in data engineering, particularly with GCP tools and services.
Programming Skills: Proficiency in programming languages such as Python, Java, or Scala.
BigQuery Expertise: Strong understanding of BigQuery and experience with SQL.
Cloud Knowledge: Familiarity with cloud concepts and services, specifically GCP.
Data Management: Experience with data modeling and ETL processes.
Problem-Solving Skills: Strong analytical and problem-solving skills.
Team Collaboration: Excellent communication and teamwork abilities.
Preferred Skills:
Data Security: Knowledge of data security best practices and compliance standards.
Machine Learning: Familiarity with machine learning concepts and tools in GCP.
Other Tools: Experience with Apache Kafka, Airflow, or other data orchestration tools.

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Keywords: information technology California
GCP Data Engineer -Contract -
[email protected]
[email protected]
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Wed Oct 30 02:22:00 UTC 2024

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