[Hiring Week] Senior Data Engineer (GCP)
We are seeking a Senior Data Engineer (Google Cloud Platform). You will build reliable ETL and ELT pipelines, optimize SQL and orchestration in Apache Airflow and help teams turn raw data into trusted, ready-to-use datasets. You will partner with clients and delivery teams to improve quality, performance and operational stability across cloud data platforms.
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Responsibilities
- Design and build scalable ETL and ELT pipelines using Python, SQL,Big Query and cloud-native services
- Develop and optimize complex SQL for transformation, validation, troubleshooting and performance
- Create and maintain data models and warehousing solutions that support quality, availability and scale
- Orchestrate workflows in Apache Airflow, including scheduling, monitoring and incident resolution
- Support pipeline delivery and platform operations across Google Cloud Platform and Amazon Web Services (AWS)
- Improve CI/CD, source control and automated deployment practices for data solution
- Investigate data, integration and infrastructure issues, driving root-cause analysis and fixes
- Collaborate with clients and cross-functional teams to clarify requirements, risks, dependencies and delivery plans
Requirements
- Hands-on experience building ETL and ELT pipelines and supporting data warehousing
- Advanced SQL skill set including optimization, data validation and complex transformation
- Python proficiency for pipeline development and software engineering practices
- Experience with distributed processing using PySpark or Apache Beam
- Practical cloud experience with Google Cloud Platform and or Amazon Web Services (AWS) for data workloads
- Workflow orchestration background with Apache Airflow or Google Cloud Composer
- Knowledge of data modeling data lifecycle management and data quality controls
- Clear communication with the ability to explain trade-offs, risks and solution options to stakeholders
Nice to have
- Infrastructure-as-code exposure using Terraform and or Kubernetes
- Streaming familiarity with Kafka and event-driven patterns
- Data integration tooling experience such as Fivetran
