Senior Data Engineer, GCP

🔥 12 hours ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Commit

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Commit is a global tech services company founded in 2005, with a presence in Israel, the US, Canada, the UK, and Europe. It specializes in advanced technologies and applications, providing innovative, end-to-end technology solutions, including custom software and IoT platforms. Commit has over 700 multidisciplinary experts who cater to a wide array of companies, from startups to large enterprises, and focuses on areas like Cloud, GenAI, Software, IoT, Big Data, Cybersecurity, and data center migration. Its proprietary Flexible R&D methodology supports clients in transforming their technology visions into high-quality products while reducing costs and improving time-to-market.

📋 Description

• 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 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

• 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 • 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