Google Cloud Data Engineer

Müller's Solutions; Dubai; On-site; AED 223,200 - 334,800; Full time

Benefits offered by this job

Attractive Package

Family Benefits

Visa Support

Air Tickets

Job summary

A technology solutions company in Dubai is looking for a Google Cloud Data Engineer to enhance their data processing capabilities. The role involves designing and implementing data pipelines using Google Cloud technologies and collaborating with data analysts and engineering teams. Candidates should have a Bachelor's degree in a related field and 3+ years of experience in data engineering, particularly with Google Cloud. The position offers an attractive package including family benefits and visa support.

Qualifications

• 3+ years of experience in data engineering focusing on Google Cloud Platform.
• Experience in real-time data processing with Apache Beam.
• Familiarity with Python or Java for data processing.

Responsibilities

• Design and develop data pipelines using Google Cloud technologies.
• Collaborate with analysts to understand data requirements.
• Monitor data pipeline performance and troubleshoot issues.

Skills

Designing data pipelines

SQL proficiency

Data modeling

Problem-solving

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Dataflow

Google 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