Senior Data Engineer, GCP

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

📋 Description

• Create and implement scalable data solutions on Google Cloud Platform (GCP)

• Oversee the technical design and execution of customer data initiatives

• Grasp business and technical requirements and convert them into efficient data architectures

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

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

• Handle structured, semi-structured, and unstructured data

• Choose suitable technologies based on performance, scalability, security, and cost factors

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

• Collaborate closely with Data Architects, Data Engineers, DevOps teams, analysts, and client stakeholders

• Engage in the development of analytics, AI, and ML solutions as applicable

⛳️ Requirements

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

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

• Familiarity with data visualization tools like Looker, Power BI, Tableau, or QuickSight

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

• Strong Python programming skills, including the development of data pipelines and ETL/ELT processes

• High-level proficiency in SQL – essential

• Experience in designing and building cloud-based Data Warehouses and Lakehouse solutions

• Proficiency with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms

• Understanding of CI/CD, Git, Infrastructure as Code, and production deployment methodologies

• Excellent analytical and problem-solving abilities with a keen attention to detail

• Capacity to independently learn new technologies and manage multiple projects

• Strong experience with several GCP services including BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions

• Proficient in English

• Practical experience with AWS or Microsoft Azure data services

• Familiarity with services like AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks

• Experience in real-time data processing and streaming architectures

• Knowledge of Kafka or other event-driven platforms

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

• Relevant GCP professional certifications

• Previous experience in consulting or customer-oriented technology projects

🏝️ Benefits

• Competitive salary and performance-based incentives

• Opportunities for professional development and training

• Flexible working hours and remote work options

• Comprehensive health and wellness benefits

• Collaborative and innovative work environment