Описание
Comm-IT provides data engineering and analytics services, delivering advanced data solutions for complex customer environments with a focus on Google Cloud Platform and modern GCP data technologies.
Задачи
•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
Требования
•At least 5 years of professional experience as a Data Engineer
•Hands-on experience developing data solutions on GCP
•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
•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 GCP services, including BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run, or Cloud Functions
•Fluent English
Nice to have:
•Hands-on experience with AWS or Microsoft Azure data services, AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, Databricks
•Real-time data processing and streaming architectures, Kafka or other event-driven platforms
•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-facing technology projects
Условия
Armenia, Ukraine, and Poland.
