採用
Dagster

Dagster
Data orchestration platform
Data Engineering
Pipeline Orchestration
Data Observability
Workflow Management
募集中のポジション
4件のポジション
Software Engineer - Observability Product
Engineering
Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
On-site
Mid-Level
Full-time
3週間前
Customer Success Manager
Customer Success
Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
On-site
Lead
Full-time
3週間前
Video Content Marketer
Content Marketing
Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
On-site
Mid-Level
Full-time
4週間前
Software Engineer - Enterprise Readiness (Experienced)
Frontend
Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
On-site
Mid-Level
Full-time
$185,000 - $230,000
ストックオプション
Remote Work
在宅勤務支援
1ヶ月前
終了したポジション
3件のポジション
GTM Engineer
Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
Mid-Level
終了 2週間前
Product Manager - Enterprise Readiness
Remote with offices in San Francisco, CA / New York, NY / Minneapolis, MN
Lead
終了 1ヶ月前
Design Lead
Remote with Offices in San Francisco, CA / New York, NY / Minneapolis, MN
Lead
終了 1ヶ月前
製品・サービス
DA
Dagster Open Source
Data Orchestration

Dagster Open Source
Data Orchestration Platform

Dagster+
Cloud Platform
DA
Dagster Cloud
Cloud Platform

Asset Materialization
Data Management
AS
Asset Catalog
Data Management
DA
Data Quality Monitoring
Data Quality

Data Quality Testing
Data Quality

Dagit UI
User Interface
BR
Branch Deployments
DevOps
DA
Dagit UI
User Interface

Sensors and Schedules
Automation

Multi-Asset Jobs
Workflow Management
HY
Hybrid Deployment
Deployment
DB
dbt Integration
Integration

Data Catalog
Data Governance

Integration Libraries
Integrations
SE
Serverless Deployment
Cloud Infrastructure

Partitioning and Backfills
Data Processing
EN
Enterprise Security
Security
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ニュース&話題
All
X
News
HN
YouTube
Senior Data Engineer - Legend - United kingdom
**About Legend**At Legend, we're building next\-level player experiences. With 20\+ years of proven success we’re the world's leading Sports and Gaming marketing company. Our people are our edge. 600\+ sharp, ambitious Legends across 22\+ countries who move fast, learn quickly and win together. Here growth isn’t a perk, it’s the standard. You’ll stretch, level\-up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years
·
1ヶ月前
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1
PWC Senior Associate - GCP Data Engineer. Interview Experience
**PwC India | Senior Associate | Data Engineer | Snowflake + dbt + GCP | 4.5 YOE** *** ## Round 1 ### Introduction & Project 1. Tell me about yourself 2. Walk me through your most recent project end to end 3. What is your tech stack and day-to-day work? ### GCP & BigQuery 4. Explain your GCP experience in detail 5. Have you used BigQuery Python API and GCS client libraries in code? 6. How do you partition and cluster tables in BigQuery? 7. Difference between partitioning and cluster
·
1ヶ月前
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68
·
25
Dagster & dbt: core vs fusion
We are currently running dbt core via Dagster OSS, but I’ve been interested in switching to dbt fusion. Does anyone have experience making the switch? Were there any hiccups along the way?
·
1ヶ月前
·
8
·
4
Create pipeline with dagster
I have a project which extracting from pdfs i specific data. I used multiple python codes the first one is for parsing the second for chunking the third is for llm and the last is converting to excel. Each output is a json file. The objective is using dagster to orchestrate this pipeline . It takes a new pdf file then after this pipeline we get the excel file. I m new in dagster if someone can give some ideas in how to use dagster to resolve this problem , how to connect the python files . Th
·
1ヶ月前
·
6
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9
[5 YoE] Just got rejected for a graduate level job and a bunch of others in one week, help on my updated CV before a renewed onslaught of applications please
https://preview.redd.it/cqlq26jwo9ig1.png?width=5100&format=png&auto=webp&s=6d571efce2ffbc224b26370caea550f02fca1981 So there were numerous issues with my CV before which I'd realised when checking the wiki here (really helpful resource btw!) While my cv/flair suggests close to 10YoE, not all of that was in technical roles. I'm specifally targeting Software Engineering (backend) or Data Engineering roles. My experience thus far is limited to data engineering and not on product foc
·
2ヶ月前
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3
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1
もっと見る (残り15件)
総閲覧数
2
応募クリック数
0
模擬応募者数
0
スクラップ
0
レビュー
3.7
15件のレビュー
ワークライフバランス
3.8
報酬
4.0
企業文化
3.7
キャリア
3.6
経営陣
3.5
81%
友人に勧める
良い点
Good work-life balance and flexible environment
Supportive team and management
Interesting projects and challenges
改善点
Some organizational bureaucracy
Room for improvement in processes
Work-life balance varies by team
給与レンジ
1件のデータ
Senior/L5
Senior/L5
1件のレポート
$182,500
年収総額
基本給
$170,000
ストック
-
$144,500
$195,000
面接体験
42件の面接
難易度
3.0
/ 5
期間
2-5w
内定率
41%
体験
ポジティブ 67%
普通 17%
ネガティブ 16%
面接プロセス
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
連絡先・所在地