Senior Data Engineer, GCP

This is a fully remote position, open to applicants in Armenia.

📋 Description

• Create and implement scalable data solutions on GCP.

• Oversee the technical design and execution of customer data initiatives.

• Convert business and technical requirements into efficient data architectures.

• Develop and sustain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.

• Design data models and integration workflows for both batch and real-time processes.

• Handle structured, semi-structured, and unstructured data.

• Choose technologies based on criteria such as performance, scalability, security, and cost.

• Establish data quality, monitoring, governance, and orchestration procedures.

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

• Contribute to the development of analytics, AI, and ML solutions as applicable.

⛳️ Requirements

• Minimum of 5 years of professional experience as a Data Engineer – required.

• Demonstrated hands-on experience in developing data solutions on GCP – required.

• Familiarity with data visualization tools such as Looker, Power BI, Tableau, or QuickSight.

• Experience in data modeling, orchestration, performance optimization, and large-scale data processing.

• Strong skills in Python development, including building data pipelines and ETL/ELT processes.

• High proficiency in SQL – required.

• Experience in designing and developing cloud-based Data Warehouses and Lakehouse architectures.

• Familiarity with ETL/ELT and transformation tools like dbt, Dataform, Rivery, or similar platforms.

• Knowledge of CI/CD, Git, Infrastructure as Code, and best practices for production deployment.

• Strong analytical and problem-solving capabilities with a keen attention to detail.

• Ability to independently learn new technologies and work on multiple projects simultaneously.

• Substantial experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run, or Cloud Functions.

• Proficient in English.

• Advantage: practical experience with AWS or Microsoft Azure data services.

• Advantage: familiarity with AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks.

• Advantage: experience in real-time data processing and streaming architectures.

• Advantage: experience with Kafka or other event-driven platforms.

• Advantage: knowledge of AI and ML services including Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning.

• Advantage: relevant GCP professional certifications.

• Advantage: prior experience in consulting or customer-facing technology projects.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Professional development and training opportunities.

• Comprehensive health and wellness benefits.

• Supportive work environment with a focus on collaboration and innovation.