۲ روز پیش

استخدام Data Platform Engineer برای شرکت خودرو ۴۵ در تهران

خودرو 45

تهران

۲ روز پیش اطلاعات تماس

حضوری

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سابقه ندارد

حقوق توافقی

آقا و خانم

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شرکت خودرو 45 در تهران جهت تکمیل کادر خود از واجدین شرایط زیر دعوت به همکاری می نماید:

Description

job title

About the Role
Were building an internal data and AI platform on top of managed Kubernetes. You’ll own the data infrastructure layer from ingestion and storage to transformation and serving — with a strong focus on security, separation between production and analytical workloads, and building something the team can maintain long-term.
You’ll work closely with data engineers and ML engineers, providing the platform they run their work on.
What You Do
• Design and operate data pipelines: batch, micro-batch, and streaming flows
• Build and maintain a data lakehouse: object storage, table formats (Iceberg/Delta Lake), and query engines
• Set up and operate data orchestration: scheduling, dependency management, retries, and alerting on failures
• Implement clear separation between production databases and BI/AI/analytical workloads (read replicas, CDC, staging layers)
• Own data access control: who can read what, at what layer, with what credentials
• Deploy and maintain MLOps tooling: experiment tracking, model registry, and notebook environments
• Build observability into pipelines: data quality checks, pipeline SLAs, and failure alerting
• Manage secrets and credentials across data systems securely
• Write and maintain documentation: runbooks, data flow diagrams, and onboarding guides
What We’re Looking For
Must Have
• Hands-on experience building and operating data pipelines (batch and/or streaming)
• Experience with at least one orchestration tool: Airflow, Prefect, or Dagster
• Familiarity with data lakehouse concepts: object storage (MinIO or S3-compatible), table formats (Iceberg or Delta Lake)
• Experience with CDC or replication patterns to isolate production from analytical workloads
• Understanding of data-level access control and RBAC across storage and query layers
• Comfortable working on Kubernetes: deploying workloads, managing configs, basic troubleshooting
• Secrets management experience (Vault, Sealed Secrets, or similar)
Good to Have
• Experience with OLAP engines: ClickHouse, Trino, or Spark
• Kafka or Redpanda for streaming ingestion
• MLflow or similar for experiment tracking and model registry
• JupyterHub or multi-tenant notebook environments
• Data quality frameworks (Great Expectations, Soda, or similar)
• Prometheus + Grafana for pipeline and infrastructure observability
Mindset We Value
• You think about data flows end-to-end, not just individual components
• You treat production data as sensitive by default and design access boundaries accordingly
• You document pipelines and data flows so others can understand and maintain them
• You’re comfortable owning trade-offs between simplicity and capability
• You work with data and ML engineers as an enabler
Our Stack
Managed Kubernetes on Hamravesh and Sotoon
Self-hosted data tooling (we build what we can’t buy as managed services)
GitOps-driven deployments (handled by the team, you’ll consume not own)
Why This Role
Real ownership over the data platform layer
Greenfield environment you’ll design the architecture from the start
Small, focused team with high trust

(Tribe Lead) Senior Product Manager

متقاضیان واجد شرایط می توانند با کلیک روی لینک تکمیل فرم استخدام، رزومه خود را ارسال نمایند.

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ثبت‌نام برای تکمیل فرم استخدام اینجا کلیک نمایید
مهلت ۱۴۰۵/۰۷/۰۵

استخدام فرم خودرو 45 تهران

در صورتی که تمایل به مشاهده همه آگهی‌های استخدام (فرم خودرو 45 تهران) دارید، می‌توانید با ورود به صفحه اختصاصی (فرم خودرو 45 تهران) دیگر آگهی‌ها و فرصت‌های شغلی مربوطه را مشاهده نمایید.

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