עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
25,000-35,000 ₪
We are looking for a Senior Data Engineer to build and operate a multi-tenant analytics platform on AWS + Kubernetes (EKS), delivering streaming and batch pipelines via GitOps as a Platform-as-a-Service (PaaS).
Responsibilities:
Ingestion pipelines: Build and operate Flink / Spark streaming and batch jobs ingesting from Kafka, S3, APIs, and RDBMS into OpenSearch and other data stores.
Platform delivery: Provide reusable, multi-tenant pipelines as a self-service PaaS.
Workflow orchestration: Manage pipeline runs using Argo Workflows.
GitOps delivery: Deploy and operate pipelines via ArgoCD across environments.
IaC & AWS: Provision infrastructure with Terraform and secure access using IAM / IRSA.
Reliability: Own monitoring, stability, and troubleshooting of production pipelines.
Collaboration: Work with product, analytics, and infra on schemas and data contracts.
Responsibilities:
Ingestion pipelines: Build and operate Flink / Spark streaming and batch jobs ingesting from Kafka, S3, APIs, and RDBMS into OpenSearch and other data stores.
Platform delivery: Provide reusable, multi-tenant pipelines as a self-service PaaS.
Workflow orchestration: Manage pipeline runs using Argo Workflows.
GitOps delivery: Deploy and operate pipelines via ArgoCD across environments.
IaC & AWS: Provision infrastructure with Terraform and secure access using IAM / IRSA.
Reliability: Own monitoring, stability, and troubleshooting of production pipelines.
Collaboration: Work with product, analytics, and infra on schemas and data contracts.
Requirements:
Software skills: Senior-level, hands-on data engineering experience building and operating production systems with ownership of reliability and scale.
Processing: Strong experience with Flink and Spark (streaming + batch).
Data sources & sinks: Experience integrating with Kafka, S3, REST APIs, and RDBMS, and publishing to OpenSearch / Elasticsearch, data warehouses, or NoSQL databases.
Big Data: Familiarity with big-data systems; Iceberg / PyIceberg a plus.
Cloud & DevOps: Hands-on experience with EKS, RBAC, ArgoCD, and Terraform for infrastructure and delivery workflows.
Datastores: Hands-on experience with OpenSearch / Elasticsearch including indexing strategies, templates/mappings, and operational troubleshooting.
AI tools: Experience with AI-assisted development tools. (e.g., CursorAI, GitHub Copilot, or similar).
Software skills: Senior-level, hands-on data engineering experience building and operating production systems with ownership of reliability and scale.
Processing: Strong experience with Flink and Spark (streaming + batch).
Data sources & sinks: Experience integrating with Kafka, S3, REST APIs, and RDBMS, and publishing to OpenSearch / Elasticsearch, data warehouses, or NoSQL databases.
Big Data: Familiarity with big-data systems; Iceberg / PyIceberg a plus.
Cloud & DevOps: Hands-on experience with EKS, RBAC, ArgoCD, and Terraform for infrastructure and delivery workflows.
Datastores: Hands-on experience with OpenSearch / Elasticsearch including indexing strategies, templates/mappings, and operational troubleshooting.
AI tools: Experience with AI-assisted development tools. (e.g., CursorAI, GitHub Copilot, or similar).
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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