Google Cloud Data Engineer

Müller's Solutions; Riyadh; On-site; SAR 180,000 - 240,000; Full time

Benefits offered by this job

Attractive Package

Family Benefits

Visa

Air Tickets

Job summary

A technology solutions company in Riyadh is seeking a skilled Google Cloud Data Engineer to enhance their data processing capabilities. The role includes designing and implementing data pipelines using Google Cloud technologies like Dataflow and BigQuery. The ideal candidate will have a bachelor's degree in a related field and over 3 years of experience in data engineering, proficient in SQL and programming languages such as Python or Java. Attractive benefits are offered, including a competitive package and family benefits.

Qualifications

• 3+ years of experience in data engineering with a focus on Google Cloud Platform.
• Strong SQL skills and familiarity with data processing programming languages like Python or Java.
• Ability to monitor and optimize data pipeline performance.

Responsibilities

• Design, develop, and optimize data pipelines using GCP technologies.
• Collaborate with data scientists and analysts on data requirements.
• Monitor and evaluate data pipeline performance.

Skills

Data pipeline design and development

Proficient in SQL

Google Cloud Dataflow

Python or Java

Data modeling

Data warehousing

Analytical skills

Education

Bachelor's degree in Computer Science, IT, or related field

Tools

Google Cloud BigQuery

Apache Beam

Google Cloud Pub/Sub

Job description

Müller's Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.

Key Responsibilities

• Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services
• Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing
• Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs
• Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise
• Ensure data quality by developing and implementing validation routines and data profiling techniques
• Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team
• Stay informed of emerging trends and best practices in data engineering and GCP technologies
• Participate in team efforts to define and enhance data governance and management practices

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
• 3+ years of experience in data engineering, with a focus on Google Cloud Platform
• Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools
• Strong SQL skills and experience in data modeling and data warehousing concepts
• Familiarity with programming languages such as Python or Java for data processing tasks
• Ability to work with various data sources, including structured and unstructured data
• Strong analytical and problem-solving skills with attention to detail
• Ability to effectively communicate technical concepts to both technical and non-technical stakeholders

Preferred Qualifications

• Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable
• Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub
• Understanding of CI/CD practices in data engineering workflows
• Knowledge of data visualization tools and techniques to present data insights effectively

Benefits

• Attractive Package
• Family Benefits
• Visa
• Air Tickets