Google Cloud Data Engineer

Müller's Solutions; Dubai; On-site; AED 240,000 - 360,000; Full time

Benefits offered by this job

Attractive Package

Family Benefits

Visa

Air Tickets

Job summary

Müller's Solutions in Dubai seeks a Google Cloud Data Engineer to design and implement data pipelines using Google Cloud technologies, ensuring reliable data delivery for analytics.

You will collaborate with data scientists and analysts, build data lakes and warehouses with BigQuery, monitor performance, ensure data quality, and document architectures and ETL processes to support scalable data governance and reporting.

Qualifications

• 3+ years of experience in data engineering with a focus on Google Cloud Platform.
• Strong SQL skills and experience in data modeling and data warehousing concepts.
• Proficiency in Python or Java for data processing tasks.
• Ability to work with structured and unstructured data.
• Excellent analytical and problem-solving abilities with attention to detail.
• Strong communication skills for both technical and non-technical stakeholders.

Responsibilities

• Design, develop, and optimize data pipelines on Google Cloud.
• Build data lakes and data warehouses using BigQuery.
• Collaborate with analysts and stakeholders to meet data needs.
• Monitor pipeline performance and troubleshoot issues.
• Ensure data quality with validation routines and profiling.
• Document data architecture, ETL processes, and ops procedures.
• Stay informed on best practices in data engineering and GCP.
• Support data governance and management efforts.

Skills

SQL

Data Analytics

Communication

Problem Solving

Python

Java

Data Visualization

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field

Tools

Google Cloud Dataflow

BigQuery

Apache Beam

CI/CD for data pipelines

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

• 1- Attractive Package.
• 2- Family Benefits.
• 3- Visa.
• 4-Air Tickets.