Senior Data Engineer, GCP
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Job Description
Senior Data Engineer designing GCP data platforms, pipelines, warehouses, and lakehouses. Delivering scalable analytics, AI, and ML solutions for customer environments.
Responsibilities:
- Design and develop scalable data solutions on GCP
- Lead the technical design and implementation of customer data projects
- Translate business and technical requirements into effective data architectures
- Build and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses
- Design data models and integration processes for batch and real-time workloads
- Work with structured, semi-structured, and unstructured data
- Select technologies based on performance, scalability, security, and cost requirements
- Implement data quality, monitoring, governance, and orchestration processes
- Collaborate with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders
- Participate in developing analytics, AI, and ML solutions where relevant
Requirements:
- At least 5 years of professional experience as a Data Engineer – mandatory
- Proven hands-on experience developing data solutions on GCP – mandatory
- Experience with data visualization tools such as Looker, Power BI, Tableau, or QuickSight
- Experience with data modeling, orchestration, performance optimization, and large-scale data processing
- Strong Python development skills, including building data pipelines and ETL/ELT processes
- High proficiency in SQL – mandatory
- Experience designing and developing cloud-based Data Warehouses and Lakehouse solutions
- Experience with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms
- Familiarity with CI/CD, Git, Infrastructure as Code, and production deployment practices
- Strong analytical and problem-solving skills with excellent attention to detail
- Ability to learn new technologies independently and work across multiple projects
- Strong experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions
- Fluent English
- Advantage: hands-on experience with AWS or Microsoft Azure data services
- Advantage: experience with AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks
- Advantage: experience with real-time data processing and streaming architectures
- Advantage: experience with Kafka or other event-driven platforms
- Advantage: knowledge of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning
- Advantage: relevant GCP professional certifications
- Advantage: previous experience working in consulting or customer-facing technology projects
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