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کد آگهی: KP2981993517
استخدام Senior Data Engineer
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میاره | Miare
در تهران
اطلاعات شغل:
نوع همکاری: تمام‌وقت
مدرک تحصیلی مورد نیاز: کارشناسی
وضعیت نظام وظیفه: کارت پایان خدمت یا معافیت
مهارت‌های مورد نیاز:
Data engineer
Python
SQL
پرداخت‌ها: توافقی
متن کامل آگهی:
Type: Full-time
Team size: 2–3 (expanding gradually)
Core Stack: ClickHouse,dbt, Airflow, Superset, Python
Optional Extras (later phases): Airbyte/PeerDB, Kafka, AI copilots
Team size: 2–3 (expanding gradually)
Core Stack: ClickHouse,dbt, Airflow, Superset, Python
Optional Extras (later phases): Airbyte/PeerDB, Kafka, AI copilots
About the Role
We’re building a governed, self-service data platform that empowers every team to create and document their own analytics while keeping a single source of truth for company-wide metrics.
You’ll be the core engineer responsible for ingestion, transformations, testing, documentation automation, and enabling domain teams to extend the platform safely.
You’ll be the core engineer responsible for ingestion, transformations, testing, documentation automation, and enabling domain teams to extend the platform safely.
This is not a “tickets in, dashboards out” role — you’ll own architecture, guardrails, and delivery speed. We’re a lean team, so you’ll automate and standardize rather than manually build for every request.
What You’ll Do
- Own data ingestion pipelines from operational DBs and APIs into ClickHouse (raw → staging → core).
- Implement and operate Airflow from day one to orchestrate ingestion, dbt runs, tests, and docs publishing.
- Build and maintain dbt models (core and staging) with tests, docs, and ownership metadata.
- Implement version control & CI/CD for transformations (GitLab CI + dbt).
- Enable self-service modeling: create team schemas, templates, onboarding guides, and governance rules.
- Maintain data quality and observability with dbt tests, freshness checks, and row count monitoring.
- Automate documentation generation and publishing after every change.
- Work directly with product, ops, and analytics teams to align on KPI definitions and SLAs.
(Future) Integrate Airbyte/PeerDB, Airflow/Prefect, or Kafka for scaling needs.
You’re a Great Fit If You…
You’re a Great Fit If You…
- Have 3+ years building and running data platforms, not just writing SQL in BI tools.
- Write clean, efficient SQL & Python; treat version control as non-negotiable.
- Understand columnar OLAP engines (ClickHouse, BigQuery, Snowflake, etc.).
- Have run dbt in production with tests and docs.
- Have deployed and managed Airflow DAGs for ingestion and transformation workflows.
- Design for idempotency, partition swaps, and incremental models.
- Care about data governance and documentation as much as query performance.
- Can work independently in a lean, high-autonomy environment.
- Think like a product engineer — balancing speed with maintainability.
Bonus Points If You…
- Have onboarded teams to self-service analytics in dbt.
- Have ClickHouse production experience (merges, partitioning, deduplication).
- Have deployed ingestion pipelines from APIs or Debezium/CDC tools.
- Have built CI/CD pipelines for dbt with automated docs/tests.
- Have introduced AI copilots (ChatGPT, Copilot) to accelerate data workflows.
This Is Not for You If You…
- Only want to write ad-hoc queries and dashboards.
- Avoid infrastructure or schema design.
- Expect a big team to shield you from cross-functional work.
- Don’t want ownership of both technical and process guardrails.
Why This Role Is Different
- You own the platform — from ingestion to governance to enablement.
- Direct stakeholder access — no layers between you and the people using your work.
- High leverage, low bureaucracy — build once, enable many.
- AI tools as force multipliers, not just novelties.
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