GCP Data Engineer: Pipelines, Data Lakes & BigQuery

Mullers Solutions 1

Riyadh

On-site

SAR 240,000 - 360,000

Full time

14 days+
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Job summary

Müller’s Solutions is seeking a Google Cloud Data Engineer to design and implement data pipelines using Google Cloud technologies. You will work with data analysts, stakeholders, and other engineers to ensure accurate data processing and availability for analysis and reporting.

The role emphasizes building pipelines with Dataflow and BigQuery, ensuring data quality, and staying current with GCP trends. A strong SQL background and communication skills are essential.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.
  • 3+ years of data engineering, with focus on Google Cloud Platform.
  • Experience designing data pipelines with Dataflow, BigQuery, and related tools.
  • Strong SQL and data warehousing concepts.

Responsibilities

  • Design, develop, and optimize data pipelines using GCP data services.
  • Implement data lakes and data warehouses on Google BigQuery.
  • Collaborate with data scientists and analysts to meet data requirements.
  • Monitor pipeline performance and troubleshoot issues.

Skills

SQL
Python
Java
Analytical thinking
Communication

Education

Bachelor's degree in CS/IT/Data Science

Tools

Google Cloud Dataflow
BigQuery
Pub/Sub
Apache Beam
CI/CD

Job description

Müller’s Solutions is seeking a Google Cloud Data Engineer to design and implement data pipelines using Google Cloud technologies. You will work with data analysts, stakeholders, and other engineers to ensure accurate data processing and availability for analysis and reporting.

The role emphasizes building pipelines with Dataflow and BigQuery, ensuring data quality, and staying current with GCP trends. A strong SQL background and communication skills are essential.

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