Experience: 7–8 Years
Employment Type: Full-Time
We are seeking a highly skilled GCP Big Data Engineer with 7–8 years of experience in designing, developing, and optimizing large-scale data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in data engineering, cloud-native architectures, and building scalable batch and real-time data pipelines.
You will be responsible for designing and implementing robust data platforms that support analytics, reporting, and machine learning use cases.
Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using GCP services.
Build and optimize batch and real-time processing frameworks.
Develop ETL/ELT workflows using Dataflow, Dataproc, Composer (Airflow), and Cloud Functions.
Implement data ingestion solutions using Pub/Sub, Cloud Storage, and BigQuery.
Design and manage data warehousing solutions in BigQuery.
Ensure data quality, governance, security, and compliance standards.
Optimize performance and cost of cloud data workloads.
Collaborate with Data Scientists, Analysts, and Business stakeholders to deliver data solutions.
Implement CI/CD pipelines for data engineering workflows.
Monitor and troubleshoot data platform issues.
BigQuery (advanced SQL, optimization, partitioning, clustering)
Dataflow (Apache Beam)
Dataproc (Spark, Hadoop)
Cloud Composer (Airflow)
Pub/Sub
Cloud Storage
Cloud Functions / Cloud Run
IAM & Security Best Practices
Apache Spark
Hadoop Ecosystem
Kafka (preferred)
Hive
Python (mandatory)
SQL (advanced level)
Scala or Java (preferred)
Strong understanding of Data Modeling (Star/Snowflake schemas)
Experience with CI/CD tools (Jenkins, GitLab CI, etc.)
Infrastructure as Code (Terraform preferred)
Experience with DevOps practices
Strong analytical and problem-solving skills
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
7–8 years of experience in Data Engineering.
Minimum 3+ years of hands-on experience on Google Cloud Platform.
GCP Certifications (Professional Data Engineer) – Preferred.
Experience with Real-time Streaming Architectures.
Exposure to Data Governance tools.
Experience in multi-cloud environments.
Knowledge of ML pipelines on GCP.
Top Skills
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains.
Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence.
We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities.
Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices.
We are working with our clients across Middle East and Africa Region.
