高级数据工程师 (GCP)

Description
We are looking for an experienced Senior Data Engineer to join a growing Data Engineering and Analytics department. In this role, you will design and develop advanced data solutions for complex customer environments, with a strong focus on Google Cloud Platform and modern GCP data technologies. You will work across the full data lifecycle- from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment.
Key Responsibilities:

• Design and develop scalable data solutions on GCP.

• Lead the technical design and implementation of customer data projects.

• Understand business and technical requirements and translate them 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 the appropriate technologies based on performance, scalability, security, and cost requirements.

• Implement data quality, monitoring, governance, and orchestration processes.

• Work closely with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders.

• Participate in the development of analytics, AI, and ML solutions where relevant.

Requirements
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.

Advantages

• Hands-on experience with AWS or Microsoft Azure data services.

• Experience with services such as AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks.

• Experience with real-time data processing and streaming architectures.

• Experience with Kafka or other event-driven platforms.

• Knowledge of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning.

• Relevant GCP professional certifications.

• Previous experience working in consulting or customer-facing technology projects.

Originally posted on Himalayas