Data Engineer
WideOps is a leading provider of cloud infrastructure management and monitoring solutions. We empower organizations to efficiently manage their cloud resources, identify issues, and gain insights. Our service enables businesses to optimize their cloud usage, improve security, and achieve greater operational efficiency. Role Description This is a full-time, on-site role for a Data Engineer at WideOps Ltd., located in Haifa. The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs. The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows. Qualifications Core Data Engineering 3+ years of experience as a Data Engineer Strong hands-on experience with Google Cloud Platform Advanced SQL (BigQuery performance, partitioning, clustering) Strong Python (data pipelines, APIs, batch & streaming jobs) Experience building batch and streaming pipelines BigQuery Dataflow / Apache Beam Pub/Sub Cloud Storage Data modeling for analytics and ML use cases Production troubleshooting, optimization, and cost awareness ML & GenAI Experience supporting ML pipelines (training, inference, feature prep) Hands-on with at least one of: Vertex AI Feature stores Model inference pipelines Experience working with LLM-based systems , including: Embeddings generation Vector databases / similarity search RAG-style pipelines Ability to prepare, version, and serve data for GenAI / ML workloads Platform & Engineering Experience with Airflow / Cloud Composer or equivalent orchestration CI/CD pipelines for data & ML workloads Infrastructure-as-code familiarity (Terraform preferred) Understanding of IAM, data security, and access controls on GCP Nice to Have Experience with FinOps / cost optimization Experience with real-time ML or low-latency inference Experience with monitoring & observability for data/ML pipelines Google Cloud certifications (Data Engineer / Architect)
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