Cloud Data Engineer: Build Scalable Pipelines on GCP

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 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.